{"id":193,"date":"2022-03-21T00:06:10","date_gmt":"2022-03-21T00:06:10","guid":{"rendered":"https:\/\/groups.cs.umass.edu\/ahha\/?page_id=193"},"modified":"2026-04-13T14:31:38","modified_gmt":"2026-04-13T14:31:38","slug":"publication","status":"publish","type":"page","link":"https:\/\/groups.cs.umass.edu\/ahha\/publication\/","title":{"rendered":"Publications"},"content":{"rendered":"\n
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Publications<\/h2>\n<\/div><\/div>\n\n\n

Selected Publication<\/h4>\n

\u265a<\/strong><\/span> [J49] Contrastive Learning Model for Wearable-based Ataxia Assessment<\/strong><\/span>
Juhyeon Lee, Brandon Oubre, Jean-Francois Daneault, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta, Sunghoon Ivan Lee, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, April 2026. [Featured Article of the Issue<\/strong><\/span>].<\/p>\n

[J47] Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor Performance<\/strong><\/span>
Yunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, Randie Black-Schaffer, Grace Kim, Paolo Bonato, Sunghoon Ivan Lee, Neurorehabilitation and Neural Repair<\/strong> (NNR)<\/strong><\/em>, Jan 2026. [Featured Article by The American Society of Neurorehabilitation<\/strong><\/span>].<\/p>\n

\u265a<\/strong><\/span> [J42] Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors\u2019 Motor Ability<\/strong><\/span>
Sunghoon Ivan Lee, Yunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, Randie Black-Schaffer, Mary Ellen Stoykov, Paolo Bonato, Neurorehabilitation and Neural Repair<\/strong> (NNR)<\/strong><\/em>, Aug 2024. [Featured Article by The American Society of Neurorehabilitation<\/strong><\/span>]<\/p>\n

\u265a<\/strong><\/span> [J41] Detection and Assessment of Point-to-Point Movements during Functional Activities using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist<\/strong><\/span>
Brandon Oubre, Sunghoon Ivan Lee*, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, Feb, 2024. [Featured Article of the Issue<\/strong><\/span>]<\/p>\n

\u265a<\/strong><\/span> [J33] Estimating Ground Reaction Force and Center of Pressure using Low-Cost Wearable Devices<\/strong><\/span>
Brandon Oubre, Spencer Lane, Skylar Holmes, Katherine Boyer, and Sunghoon Ivan Lee, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, April 2022. [Featured Article of the Issue<\/strong><\/span>].<\/p>\n

\u265a<\/strong><\/span> [J20] Estimating Upper-Limb Impairment Level in Stroke Survivors using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task<\/strong><\/span>
Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Kallie Whritenour, Jose Garcia Vivas Miranda, Joonwoo Park, Taejyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, IEEE Transactions on Neural Systems & Rehabilitation Engineering (IEEE TNSRE)<\/strong><\/em>, March 2020. [Featured Article of the Issue<\/strong><\/span>].<\/p>\n

\u265a<\/strong><\/span> [J16] Remote Assessment of Cognitive Impairment Level based on Serious Mobile Game Performanc<\/strong><\/span>e
Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Rye, Yangsoo Kim, and Sunghoon Ivan Lee, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, May, 2019 [download<\/a>]. [Cover Article of the Issue<\/strong><\/span>]<\/p>\n

\u00a0<\/h4>\n

2026<\/h4>\n

[C49] Phonotonos: Through-Skin Ultrasonic Blood Flow Sensing Using Smartphones<\/strong><\/span>
Shirui Cao, Jie Xiong, Riishav Guptaa, Sunghoon Ivan Lee, Jeremy Gummeson, Dong Li, ACM Intl. Conf. on Mobile Systems, Applications, and Services (ACM MobiSys)<\/strong><\/em>, June 2026.<\/p>\n

[C48] GuideTWSI: A Diverse Tactile Walking Surface Indicator Dataset from Synthetic and Real-World Images for Blind and Low-Vision Navigation<\/strong><\/span>
Hochul Hwang, Soowan Yang, Nhat Hong Anh Nguyen, Parth Goel, Krisha Adhikari, Sunghoon Ivan Lee, Joydeep Biswas, Nicholas Giudice, Donghyun Kim, IEEE Intl. Conf. on Robotics and Automation (IEEE ICRA<\/span>)<\/strong><\/em>, June 2026.<\/p>\n

[C47] Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control<\/strong><\/span>
Shangqun Yu, Hochul Hwang, Trung Dang, Joydeep Biswas, Nicholas Giudice, Sunghoon Ivan Lee, Donghyun Kim, IEEE Intl. Conf. on Robotics and Automation (IEEE ICRA<\/span>)<\/strong><\/em>, June 2026.<\/p>\n

\u265a<\/strong><\/span> [J49] Contrastive Learning Model for Wearable-based Ataxia Assessment<\/strong><\/span>
Juhyeon Lee, Brandon Oubre, Jean-Francois Daneault, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta, Sunghoon Ivan Lee, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, April 2026. [Featured Article of the Issue<\/strong><\/span>].<\/p>\n

[C46] GuideNav: User-Informed Development of a Vision-Only Robotic Navigation Assistant for Blind Travelers<\/strong><\/span>
Hochul Hwang; Soowan Yang; Jahir Sadik Monon; Nicholas A. Giudice; Sunghoon Ivan Lee; Joydeep Biswas; Donghyun Kim, IEEE\/ACM Intl. Conf. on Human-Robot Interaction (IEEE\/ACM HRI)<\/strong><\/em>, March 2026. [Honorable Mention<\/strong><\/span>].<\/p>\n

[J48] Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies<\/strong><\/span>
Yunda Liu, Benito Lorenzo Pugliese, Gloria Vergara-Diaz, Anne O’Brien, Randie Black-Schaffer, Paolo Bonato, Sunghoon Ivan Lee, IEEE Transactions on Neural Systems & Rehabilitation Engineering (IEEE TNSRE)<\/strong><\/em>, Jan 2026.<\/p>\n

[J47] Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor Performance<\/strong><\/span>
Yunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, Randie Black-Schaffer, Grace Kim, Paolo Bonato, Sunghoon Ivan Lee, Neurorehabilitation and Neural Repair<\/strong> (NNR)<\/strong><\/em>, Jan 2026. [Featured Article by The American Society of Neurorehabilitation<\/strong><\/span>]<\/p>\n

2025<\/h4>\n

[J46] A Systematic Review of Unmet Needs of Older Adults in Home Settings and Their Implications for Novel Technological Solutions<\/strong><\/span>
Andrew Dolman, Sidharth Kaliappan, Yanling Zhou, Divija Palleti, Jenna Marquard, Sunghoon Ivan Lee, Ravi Karkar, Holly Jimison, Innovation in Aging<\/strong><\/em>, Oct 2025.<\/p>\n

[C45] Improving Responsiveness in Game-based Cognitive Assessment for Mild Cognitive Impairment<\/strong><\/span>
Juhyeon Lee, Aurora James-Palmer, Isaac Heitmann, Allison Bierly, Jean-Francois Daneault, Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, November 2025.<\/p>\n

[C44] Intra-Body Backscattering for Wearable Ring Sensor<\/strong><\/span>
Noor Mohammed, Robert W. Jackson, Sunghoon Ivan Lee, Jeremy Gummeson, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, November 2025.<\/p>\n

[C43] Submovement Characteristics are Related to the Presence of Parkinson’s Disease<\/strong><\/span>
Yunda Liu, Brandon Oubre, Christian Duval, Sunghoon Ivan Lee, Jean-Francois Daneault, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, July 2025.<\/p>\n

[J45] A Capacitive Backscatter System for Intra-Body Identification<\/strong><\/span>
Noor Mohammed, Robert W. Jackson, Sunghoon Ivan Lee, Jeremy Gummeson, IEEE Journal of Radio Frequency Identification (J-RFID)<\/strong><\/em>, May 2025.<\/p>\n

[J44] Wearable-based Digital Biomarker Provides a Valid Alternative to Traditional Clinical Measures for Post-Stroke Upper-Limb Motor Recovery<\/strong><\/span>
Ryan Wang, Catherine E. Lang, Mary E. Stoykov, Paolo Bonato, and Sunghoon Ivan Lee, medRxiv<\/strong><\/em>, January 2025.<\/p>\n

2024<\/h4>\n

[C42] IBID: Intra-Body Identification using Capacitive Backscattering<\/strong><\/span>
Noor Mohammed, Robert W. Jackson, Sunghoon Ivan Lee, Jeremy Gummeson, IEEE International Conference on RFID Technology and Applications <\/i>(IEEE RFID-TA)<\/strong><\/em>, December 2024.<\/p>\n

[J43] GoalTrack: Supporting Personalized Goal-Setting in Stroke Rehabilitation with Multimodal Activity Journaling Ability<\/strong><\/span>
Jong Ho Lee, Sunghoon Ivan Lee*, and Eun Kyoung Choe*, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/em><\/strong>, December 2024 [*Co-corresponding authors]<\/p>\n

[C41] Evaluating the Responsiveness of Wearable-Based Motor Assessment for Stroke Upper-Limb Impairments<\/strong><\/span>
Juhyeon Lee, Bethany Dombrow, Mary Ellen Stoykov, and Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, October 2024.<\/p>\n

[C40] Hardware-Assisted Privacy-Preserving Multi-Channel EEG Computational Headwear<\/strong><\/span>
Bhawana Chhaglani, Abdul Aziz, Amirmohammad Radmehr, Joseph Collins, Jeremy Gummeson, Sunghoon Ivan Lee, Ravi Karkar and VP Nguyen, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, October 2024.<\/p>\n

[C39]\u00a0Bootstrapping health wearables powered by Intra-Body Power Transfer<\/strong><\/span>
Saad Ahmed, Eren Yildiz, Shashank Karkada Holla, Noor Mohammed, Bashima Islam, Kasim Sinan Yildirim, Jeremy Gummeson, Sunghoon Ivan Lee, Josiah Hester, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, October 2024.<\/p>\n

\u265a<\/strong><\/span> [J42] Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors\u2019 Motor Ability<\/strong><\/span>
Sunghoon Ivan Lee, Yunda Liu, Gloria Vergara-Diaz, Benito Lorenzo Pugliese, Randie Black-Schaffer, Mary Ellen Stoykov, Paolo Bonato, Neurorehabilitation and Neural Repair<\/strong> (NNR)<\/strong><\/em>, Aug 2024. [Featured Article by The American Society of Neurorehabilitation<\/strong><\/span>]<\/p>\n

\u265a <\/strong><\/span>[C38] Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design\u00a0<\/strong><\/span>
Hochul Hwang, Hee-Tae Jung, Nicholas A Giudice, and Joydeep Biswas, Sunghoon Ivan Lee*, Donghyun Kim*, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (ACM CHI)<\/strong><\/em>, May 2024. [*Co-corresponding authors] [Best Paper Award<\/strong><\/span>]<\/p>\n

\u265a<\/strong><\/span> [J41] Detection and Assessment of Point-to-Point Movements during Functional Activities using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist<\/strong><\/span>
Brandon Oubre, Sunghoon Ivan Lee*, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, Feb, 2024. [Featured Article of the Issue<\/strong><\/span>]<\/p>\n

2023<\/h4>\n

[J40] Understanding voluntary human movement variability through data-driven segmentation and clustering<\/strong><\/span>
Jean-Francois Daneault*, Brandon Oubre, Jose Garcia Viva Miranda, Sunghoon Ivan Lee*, Frontiers in Human Neuroscience<\/strong><\/em>, November 2023. [*Co-corresponding authors]<\/p>\n

\u265a<\/strong><\/span> [C37] VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications\u00a0<\/strong><\/span>
Ignacio Gavier, Yunda Liu, Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks(IEEE BSN)<\/strong><\/em>, October 2023. [Best Demo Award<\/strong><\/span>]<\/p>\n

[C36]\u00a0A Wearable System to Monitor Gait Modification<\/strong><\/span>
Yunda Liu, Skyler Holmes, Katherine Boyer, Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks(IEEE BSN)<\/strong><\/em>, October 2023.<\/p>\n

[C35] PowerPhone: Unleashing the Acoustic Sensing Capability of Smartphones<\/strong><\/span>
Shirui Cao, Dong Li, Sunghoon Ivan Lee*, Jie Xiong*, ACM Intl. Conf. on Mobile Computing and Communication (ACM MobiCom)<\/strong><\/em>, October 2023. [*Co-corresponding authors]<\/p>\n

[J39] Estimation of Ataxia Severity in Children with Ataxia-Telangiectasia using Ankle-Worn Sensors<\/strong><\/span>
Juhyeon Lee, Brandon Oubre, Jean-Francoise Daneault, Sunghoon Ivan Lee*, Anoopum S. Gupta*, Journal of Neurology<\/strong><\/em>, June 2023. [*Co-corresponding authors]<\/p>\n

[C34] System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work<\/strong><\/span>
Hochul Hwang, Tim Xia, Ibrahima Keita, Ken Suzuki, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim,\u00a0IEEE International Conference on Robotics and Automation (IEEE ICRA)<\/strong><\/em>, May 2023.<\/p>\n

[J38] Towards Wide-Area Contactless Wireless Sensing<\/strong><\/span>
Lili Chen, Kai Chen, Jie Xiong, Ke Li, Sunghoon Ivan Lee, Fuwei Wang,\u00a0 Zhanyong Tang, Zheng Wang, Dingyi Fang, Xiaojiang Chen, IEEE\/ACM Transactions on Networking<\/strong><\/em>, April 2023.<\/p>\n

2022<\/h4>\n

[J37] Envisioning the Use of In-Situ Arm Movement Data in Stroke Rehabilitation: Stroke Survivors\u2019 and Occupational Therapists\u2019 Perspectives<\/strong><\/span>
Hee-Tae Jung, Yoojung Kim, Juhyeon Lee, Sunghoon Ivan Lee*, Eun Kyoung Choe*, PLOS ONE<\/strong><\/em>, Dec 2022. [*Co-corresponding authors]<\/p>\n

[J36] A\u00a0Kinematic Data-Driven Approach to Differentiate Involuntary Choreic Movements in Individuals with Neurological Conditions<\/strong><\/span>
Yunda Liu, Brandon Oubre, Sunghoon Ivan Lee*, and Jean-Francois Daneault*, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, Dec 2022. [*Co-corresponding authors]<\/p>\n

[C33] Room-Scale Hand Gesture Recognition Using Smart Speakers<\/strong><\/span>
Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong, ACM Intl. Conf. on Embedded Networked Sensor Systems (ACM SenSys)<\/strong><\/em>, Nov 2022.<\/p>\n

[C32] Experience: Practical Problems for Acoustic Sensing<\/strong><\/span>
Dong Li, Shirui Cao, Sunghoon Ivan Lee, Jie Xiong, ACM Intl. Conf. on Mobile Computing and Communication (ACM MobiCom)<\/strong><\/em>, Oct 2022.<\/p>\n

[C31] Wireless Intra-Body Power Transfer via Capacitively Coupled Link<\/strong><\/span>
Noor Mohammed, Robert W. Jackson, Jeremy Gummson, Sunghoon Ivan Lee, IEEE Intl. Conf. on Wearable and Implantable Body Sensor Networks (IEEE BSN)<\/strong><\/em>, Sept 2022.<\/p>\n

[C30] Estimating Post-Stroke Upper-Limb Impairment from Four Activities of Daily Living using a Single Wrist-Worn Inertial Sensor<\/strong><\/span>
Brandon Oubre, Sunghoon Ivan Lee, IEEE Intl. Conf. on Biomedical and Health Informatics (IEEE BHI)<\/strong><\/em>, Sept 2022.\u00a0<\/p>\n

[J35] Analysis of Gait Sub-Movements to Estimate Ataxia Severity using Ankle Inertial Data<\/strong><\/span>
Juhyeon Lee, Brandon Oubre, Jean-Francois Daneault, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta*, and Sunghoon Ivan Lee*, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, July 2022. [*Co-corresponding authors].<\/p>\n

\u265a<\/strong><\/span> [J34] Charging Wearable Devices Through Natural Interactions with Instrumented Everyday Objects<\/strong><\/span>
Noor Mohammed, Rui Wang, Robert Jackson, Yeonsik Noh, Jeremy Gummeson*, Sunghoon Ivan Lee*, ACM GetMobile: Mobile Comp. and Comm.<\/strong><\/em>, June 2022. [Invited Paper<\/strong><\/span>].<\/p>\n

\u265a<\/strong><\/span> [J33] Estimating Ground Reaction Force and Center of Pressure using Low-Cost Wearable Devices<\/strong><\/span>
Brandon Oubre, Spencer Lane, Skylar Holmes, Katherine Boyer, and Sunghoon Ivan Lee, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, April 2022. [Featured Article of the Issue<\/strong><\/span>].<\/p>\n

[J32] LASense: Pushing the Limits of Fine-grained Activity Sensing using Acoustic Signals<\/strong><\/span>
Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/strong><\/em>, March 2022.<\/p>\n

[J31] Ubiquitous Smartphone-based Respiration Sensing with Wi-Fi Signal <\/strong><\/span>
Yuqing Yin, Xu Yang, Jie Xiong, Sunghoon Ivan Lee, Pengpeng Chen, and Qiang Niu, IEEE Internet of Things Journal (IEEE JIoT)<\/strong><\/em>, January 2022.<\/p>\n

2021<\/h4>\n

[J30] LIDS: Mobile System to Monitor Type and Volume of Liquid Intake<\/strong><\/span>
Mahdi Pedram, Seyed Iman Mirzadeh, Seyed Ali Rokni, Ramin Fallahzadeh, Diane Myung-kyung Woodbridge, Sunghoon Ivan Lee, Hassan Ghasemzadeh, IEEE Sensors Journal (IEEE SJ)<\/strong><\/em>, Sept 2021.<\/p>\n

[J29] ShaZam: Charge-Free Wearable Devices via Intra-Body PowerTransfer from Everyday Objects <\/strong><\/span>
Noor Mohammed, Rui Wang, Robert Jackson, Yeonsik Noh, Jeremy Gummeson*, Sunghoon Ivan Lee*, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/strong><\/em>, July 2021. [pdf<\/strong><\/a>]<\/p>\n

https:\/\/www.youtube.com\/watch?v=zrJwZRauO4E<\/a><\/video><\/div>\n

[C29] Estimating the Quality of Reaching Movements in Stroke Survivors <\/strong><\/span>
Juhyeon Lee, Hee-Tae Jung, Sunghoon Ivan Lee, IEEE Intl. Conf. on Biomedical and Health Informatics (IEEE BHI)<\/strong><\/em>, July 2021.<\/p>\n

[J28] Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors<\/strong><\/span>
Sunghoon Ivan Lee, Catherine Adans-Dester, Anne O\u2019Brien, Gloria Vergara-Dias, Randie Black-Schaffer, Rozz Zafonte, Jennifer Dy, and Paolo Bonato, IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/em><\/strong>, June 2021.<\/p>\n

[J27] Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia<\/span><\/strong>
Brandon Oubre, Jean-Francois Daneault, Kallie Whritenour, Nergis C. Khan, Christopher D. Stephen, Jeremy D. Schmahmann, Sunghoon Ivan Lee*, Anoopum S. Gupta*, The Cerebellum<\/em><\/strong>, March 2021, [*Co-corresponding authors]<\/p>\n

[J26] Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body<\/strong><\/span>
Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee, ACM GetMobile: Mobile Comp. and Comm.<\/strong><\/em>, January 2021. [Invited Paper<\/strong><\/span>].<\/p>\n

2020<\/h4>\n

[J25] A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics<\/strong><\/span>
Brandon Oubre, Jean-Francois Daneault, Katherine Boyer, Jae Hyun Kim, Mahmood Jasim, Paolo Bonato, Sunghoon Ivan Lee
IEEE Transactions on Biomedical Engineering (IEEE TBME)<\/strong><\/em>, December 2020.<\/p>\n

[J24] Rehabilitation Games in Real-World Clinical Settings: Practices, Challenges, and Opportunities<\/strong><\/span>
Hee-Tae Jung, Taiwoo Park, Narges Mahyar, Sungji Park, Taekyeong Rye, Yangsoo Kim, Sunghoon Ivan Lee, ACM Transactions on Computer-Human Interaction (ACM ToCHI)<\/strong><\/em>, November 2020.<\/p>\n

https:\/\/people.cs.umass.edu\/~hjung\/videos\/CHI2021_presentation.mp4<\/a><\/video><\/div>\n

[C28] Towards Battery-Free Body Sensor Networks<\/strong><\/span>
Sougata Sen, Sunghoon Ivan Lee, Robert Jackson, Rui Wang, Nabil Alshurafa, Josiah Hester, Jeremy Gummeson, ACM Intl.Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ACM ENSSys)<\/strong><\/em>, November 2020.<\/p>\n

[C27] FM-Track: Pushing the Limits of Contactless Multi-target Tracking using Acoustic Signals<\/strong><\/span>
Dong Li, Jianlin Liu, Sunghoon Ivan Lee, Jie Xiong, ACM Intl. Conf. on Embedded Networked Sensor Systems (ACM SenSys)<\/strong><\/em>, November 2020.<\/p>\n

[J23] Effectiveness of A Serious Game for Cognitive Training in Chronic Stroke Survivors with Mild-to-Moderate Cognitive Impairment: A Pilot Randomized Controlled Trial<\/strong><\/span>
Hee-Tae Jung, Jean-Francois Daneault, Tenzin Nanglo, Hyunsuk Lee, Byeongil Kim, Yangsoo Kim, Sunghoon Ivan Lee, Applied Sciences (Appl. Sci.)<\/em><\/strong>, September 2020.<\/p>\n

[J22] Enabling Precision Rehabilitation Interventions Using Wearable Sensors and Machine Learning to Track Motor Recovery<\/strong><\/span>
Catherine Adans-Dester, Nicolas Hankov, Anne O\u2019Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer Dy, Sunghoon Ivan Lee, and Paolo Bonato, NPJ Digital Medicine<\/strong><\/em>, September 2020.<\/p>\n

[J21] Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?<\/strong><\/span>
Catherine Adans-Dester, \u2026, Sunghoon Ivan Lee, \u2026, and Paolo Bonato, IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB)<\/strong><\/em>, September 2020.<\/p>\n

[C26] Estimating Quality of Reaching Movement Using a Wrist-Worn Inertial Sensor<\/strong><\/span>
Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Joonwoo Park, Yangsoo Kim, Sunghoon Ivan Lee, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, July 2020.<\/p>\n

\u265a<\/strong><\/span> [J20] Estimating Upper-Limb Impairment Level in Stroke Survivors using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task<\/strong><\/span>
Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Kallie Whritenour, Jose Garcia Vivas Miranda, Joonwoo Park, Taejyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, IEEE Transactions on Neural Systems & Rehabilitation Engineering (IEEE TNSRE)<\/strong><\/em>, March 2020.[Featured Article of the Issue<\/strong><\/span>].<\/p>\n

2019<\/h4>\n

[J19] Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors<\/strong><\/span>
Yoojung Kim, Hee-Tae Jung, Joonwoo Park, Yangsoo Kim, Nathan Ramasarma, Paolo Bonato, Eun Kyoung Choe*, Sunghoon Ivan Lee*, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/em><\/strong>, December 2019 [*Co-corresponding authors]<\/p>\n

[C25] SkinnyPower: Enabling Battery-less Wearable Sensors via Intra-Body Power Transfer<\/strong><\/span>
Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee, ACM Intl. Conf. on Embedded Networked Sensor Systems (ACM SenSys)<\/em><\/strong>, November 2019.<\/p>\n

\u265a<\/strong><\/span> [C24] WideSee: Towards Wide-Area Contactless Wireless Sensing<\/strong><\/span>
Lili Chen, Jie Xiong, Xiaojiang Chen, Sunghoon Ivan Lee, Kai Chen, Dianhe Han, Dingyi Fang, Zhangyong Tang, ACM Intl. Conf. on Embedded Networked Sensor Systems (ACM SenSys)<\/strong><\/em>, New York, USA, November 2019. [Best Paper Nominee<\/strong><\/span>]<\/p>\n

[J18] LungTrack: Towards Contactless and Zero Dead-Zone Respiration Monitoring with Commodity RFIDs<\/strong><\/span>
Lili Chen, Jie Xiong, Xiaojiang Chen, Sunghoon Ivan Lee, Daqing Zhang, Tao Yan, Dingyi Fang,
ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/strong><\/em>, vol. 3 no. 3, September 2019.<\/p>\n

[J17] NOSE: Novel Odor Sensing Engine for Ambient Monitoring of the Frying Cooking Method in Kitchen Environments<\/strong><\/span>
Pooya Khaloo, Brandon Oubre, Jeremy Yang, Tauhidur Rahman, Sunghoon Ivan Lee, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT)<\/strong><\/em>, June 2019.<\/p>\n

\u265a<\/strong><\/span> [J16] Remote Assessment of Cognitive Impairment Level based on Serious Mobile Game Performanc<\/strong><\/span>e
Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Rye, Yangsoo Kim, and Sunghoon Ivan Lee, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, May, 2019 [download<\/a>]. [Cover Article of the Issue<\/strong><\/span>]<\/p>\n

[C23] A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis<\/strong><\/span>
Youngkyun Lee, Xin Liu, Jeremy Gummeson, Sunghoon Ivan Lee, IEEE Intl. Conf. on Wearable and Implantable Body Sensor Networks (IEEE BSN)<\/strong><\/em>, May 2019.<\/p>\n

[C22] Predicting Cognitive Impairment Level after a Serious Game-based Therapy in Chronic Stroke Survivors<\/strong><\/span>
Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Jean-Francois Daneault, Sunghoon Ivan Lee, IEEE Intl. Conf. on Biomedical and Health Informatics (IEEE BHI)<\/strong><\/em>, May 2019.<\/p>\n

[J15] A Novel Upper-Limb Function Measure Derived from Finger-Worn Sensor Data Collected in a Free-Living Setting<\/strong><\/span>
Sunghoon Ivan Lee, Xin Liu, Smita Rajan, Nathan Ramasarma, Eun Kyoung Choe, and Paolo Bonato, PLOS One<\/strong><\/em>, 2019 [pdf<\/a>].<\/p>\n

\u265a<\/strong><\/span> [J14] The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings<\/strong><\/span>
Xin Liu, Smia Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, 2019. [Cover Article Nominee<\/strong><\/span>]<\/p>\n

2018 and beyond<\/h4>\n

[J13] Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training<\/strong><\/span>
Sunghoon Ivan Lee, Catherin P. Adans-Dester, Matteo Grimaldi, Ariel V. Dowling, Peter C. Horak, Randie M. Black-Schaffer, Paolo Bonato, Joseph T. Gwin, IEEE Journal of Translational Engineering in Health and Medicine (IEEE JTEHM)<\/strong><\/em>, 2018. [pdf<\/a>]<\/p>\n

[C21] Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor<\/strong><\/span>
Sunghoon Ivan Lee, Hee-Tae Jung, Joonwoo Park, Jungyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Victor dos Santos, Jose Garcia Viva Miranda, Jean-Francois. Daneault,
IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2018.<\/p>\n

[C20] Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Setting<\/strong><\/span>
Xin Liu, Smitha Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2018.<\/p>\n

[C19] Estimating Mini-Mental State Examination Scores using Game-Specific Performance Values: A Preliminary Study<\/strong><\/span>
Hee-Tae Jung, Hyunsook Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2018<\/p>\n

[C18] Feasibility of Using the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Randomized Controlled Trial<\/strong><\/span>
Joonwoo Park, Hee-Tae Jung, Jean-Francois. Daneault, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2018.<\/p>\n

[C17] A Wearable Monitoring System for At-Home Stroke Rehabilitation Exercises: A Preliminary Study<\/strong><\/span>
Hee-Tae Jung, Joon Woo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee, IEEE International Conference on Biomedical and Health Informatics (IEEE BHI), <\/strong><\/em>March 2018. [NSF Student Traveling Award for H.T. Jung<\/strong><\/span>]<\/p>\n

\u265a<\/strong><\/span> [J12] Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring<\/strong><\/span>
Bjoern M. Eskofier, Sunghoon Ivan Lee, Manuela Baron, Andr\u00e9 Simon, Christine F. Martindale, Heiko Ga\u00dfner and Jochen KluckenAn
Applied Sciences (Appl. Sci.)<\/strong><\/em>, 2017, [pdf<\/a>]. [Featured Article of the Issue<\/strong><\/span>]<\/p>\n

[J11] Finding Predictors for Postoperative Clinical Outcome in Lumbar Spinal Stenosis Patients using Smart-shoe Technology<\/strong><\/span>
Sunghoon Ivan Lee, Andrew Campion, Alex Huang, Jordan Hayward Garst, Nima Jahanforouz, Marie Espinal, Tiffany Siero, Sophie Pollack, Marwa Afridi, Meelod Daneshvar, Saif Ghias, Majid Sarrafzadeh, Daniel C. Lu, Journal of NeuroEngineering and Rehabilitation (JNER)<\/strong><\/em>, 2017 [pdf<\/a>].<\/p>\n

[J10] Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart Shoes<\/strong><\/span>
Eunjeong Park, Sunghoon Ivan Lee, HS Nam, Jordan H. Garst, Alex Huang, Andrew Campion, M. Arnell, Nima Ghalehsariand, Monica Arnell, Sangsoo Park, Hyuk-Jae Chang, Daniel C. Lu, and Majid Sarrafzadeh, Methods of Information in Medicine (Methods Inf Med)<\/strong><\/em>, 2017. [pdf<\/a>]<\/p>\n

[J9] Clinical Management of Drug-Induced Dyskinesia in Parkinson\u2019s Disease: Why Current Approaches May Need to be Changed to Optimize Quality of Life<\/strong><\/span>
Jean-Francois Daneault, Gloria Vergara-Diaz, Sunghoon Ivan Lee, European Medical Journal Reviews (EMJ-R)<\/strong><\/em>, 2016 [pdf<\/a>]<\/p>\n

[J8] Quantitative Assessment of Hand Motor Function in Cervical Spinal Disorder Patients Using Target Tracking Tests<\/strong><\/span>
Sunghoon Ivan Lee, Charles Li, Haydn A. Hoffman, Derek S. Lu, Ruth Getachew, Bobak Mortazavi, Jordan H. Garst, Marie Espinal, Mehrdad Razaghy, Nima Ghalehsari, Brian H. Paak, Amir A. Chavam, Marwa Afridi, Arsha Ostowari, Hassan Ghasemzadeh, Daniel C. Lu, Majid Sarrafzadeh, Journal of Rehabilitation Research & Development (J-RRD)<\/em><\/strong>, 2016 [pdf<\/a>]<\/p>\n

[J7] Objectively Quantifying Walking Ability in Degenerative Spinal Disorder Patients using Sensor Equipped Smart Shoes<\/strong><\/span>
Sunghoon Ivan Lee, Eunjeong Park, Alex Huang, Bobak Mortazavi, Jordan Hayward Garst, Nima Jahanforouz, Marie Espinal, Tiffany Siero, Sophie Pollack, Marwa Afridi, Meelod Daneshvar, Saif Ghias, Daniel C. Lu, Majid Sarrafzadeh, Medical Engineering & Physics (Med Eng Phys)<\/strong><\/em>, 2016. [pdf<\/a>]<\/p>\n

[J6] User-Optimized Activity Recognition for Exergaming<\/strong><\/span>
Bobak Mortazavi, Mohammad Pourhomayoun, Sunghoon Ivan Lee, Suneil Nyamathi, Brandon Wu, Majid Sarrafzadeh, Pervasive and Mobile Computing (PMC)<\/strong><\/em>, 2016.[pdf<\/a>]<\/p>\n

\u265a<\/strong><\/span> [J5] A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients using Gaussian Process Regression<\/strong><\/span>
Sunghoon Ivan Lee, Bobak Mortazavi, Haydn A. Hoffman, Derek S. Lu, Charles Li, Brian H. Paak, Jordan H. Garst, Mehrdad Razaghy, Marie Espinal, Eunjeong park, Daniel C. Lu, Majid Sarrafzadeh, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, 2016, [pdf<\/a>]. [Cover Article Nominee<\/strong><\/span>]<\/p>\n

[C16] Recent Machine Learning Advancements in Sensor-based Mobility Analysis: Deep learning for Parkinson\u2019s Disease Assessment<\/strong><\/span>
Bjoern M. Eskofier, Member, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh N. Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Thomas Kautz, Jochen Klucken, Paolo Bonato, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2016 [pdf<\/a>].<\/p>\n

[C15] A Novel Flexible Wearable Sensor for Estimating Joint-Angles<\/strong><\/span>
Sunghoon Ivan Lee, Jean-Francois Daneault, Luc Weydert, Paolo Bonato, IEEE Intl. Conf. on Body Sensor Network (IEEE BSN)<\/strong><\/em>, June 2016 [pdf<\/a>]<\/p>\n

[J4] Use of Multivariate Linear Regression and Support Vector Regression to Predict Functional Outcome After Surgery for Cervical Spondylotic Myelopathy<\/strong><\/span>
Haydn A. Hoffman, Sunghoon Ivan Lee, Jordan H. Garst, Derek S. Lu, Charles Li, Daniel T. Nagasawa, Nima Ghalehsari, Nima Jahanforouz, Mehrdad Razaghy, Marie Espinal, Amir Ghavamrezaii, Brian H. Paak, Majid Sarrafzadeh, Daniel C. Lu, Journal of Clinical Neuroscience (J-Clin Neurosci)<\/strong><\/em>, 2015 [pdf<\/a>]<\/p>\n

[C14] A Novel Technique for Assessing the Level of Drug-induced Dyskinesia using Wearable Sensors<\/strong><\/span>
Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Shyamal Patel, Ludy Shih, Paolo Bonato, IEEE Engineering in Medicine and Biology Conference (IEEE EMBC)<\/strong><\/em>, August 2015, [pdf<\/a>]<\/p>\n

[C13] Activity Detection in Uncontrolled Free-living Conditions Using a Single Accelerometer<\/strong><\/span>
Sunghoon Ivan Lee, Muzaffer Yalgin Ozsecen, Luca Della Toffola, Jean-Francois Daneault, Alessandro Puiatti, Shyamal Patel, Paolo Bonato, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, June 2015 [pdf<\/a>]<\/p>\n

[C12] Multiple Model Recognition for Near-Realistic Exergaming<\/strong><\/span>
Bobak Mortazavi, Mohammad Pourhomayoun, Suneil Nyamathi, Brandon Wu, Sunghoon Ivan Lee, Majid Sarrafzadeh, IEEE Intl. Conf. on Pervasive Computing and Communications (IEEE PerCom)<\/strong><\/em>, March 2015 [pdf<\/a>]<\/p>\n

[J3] Utilization of A Novel Digital Measurement Tool for Quantitative Assessment of Upper Extremity Motor Dexterity: A Controlled Pilot Study<\/strong><\/span>
Ruth Getachew, Sunghoon Ivan Lee, Andrew Yew, Jon Kimball, Derek S. Lu, Jordan H. Garst, Nima Ghalehsari, Brian H. Paak, Mehrdad Razaghy, Marie Espinal, Arha Ostowari, Amir Ghavamrezaii, Sahar Pourtaheri, Majid Sarrafzadeh, Daniel C. Lu, Journal of NeuroEngineering and Rehabilitation (J-NER)<\/strong><\/em>, 2014. [pdf<\/a>]<\/p>\n

\u265a<\/strong><\/span> [J2] Near-Realistic Mobile Exergames with Wireless Wearable Sensors<\/strong><\/span>
Bobak Mortazavi, Suneil Nyamathy, Sunghoon Ivan Lee, T. Wilkerson, Hassan Ghasemzadeh, Majid Sarrafzadeh, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, 2014. [pdf<\/a>] [Featured Article of the Issue<\/strong><\/span>]<\/p>\n

[C11] Support Vector Regression for METs of Exergaming Actions<\/strong><\/span>
Bobak Mortazavi, Mohammad Pourhomayoun, Nabil Alshurafa, Michael Chronley, Sunghoon Ivan Lee, Christian Roberts, Majid Sarrafzadeh, IEEE Healthcare Innovation Point-of-Care Technologies Conference (HIC-POCT)<\/em><\/strong>, October 2014, [pdf<\/a>]<\/p>\n

[C10] User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach<\/strong><\/span>
Bobak Mortazavi, Sunghoon Ivan Lee, Majid Sarrafzadeh, ACM UbiComp International Workshop on Smart Health Systems and Applications (SmartHealthSys)<\/strong><\/em>, September 2014 [pdf<\/a>]<\/p>\n

[C9] Determining the Single Best Axis for Exercise Repetition Recognition and Counting with Smart Watches<\/strong><\/span>
Bobak Mortazavi, Mohammad Pourhomayoun, Gabriel Alsheikh, Nabil Alshurafa, Sunghoon Ivan Lee, Majid Sarrafzadeh, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/em><\/strong>, June, 2014 [pdf<\/a>]<\/p>\n

[J1] Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System<\/strong><\/span>
Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Majid Sarrafzadeh, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)<\/strong><\/em>, 2013. [pdf<\/a>]<\/p>\n

[C8] Remote Patient Monitoring Systems: What Impact Can Data Analytics Have on Cost?<\/strong><\/span>
Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Mars Lan, Michael Ong, Majid Sarrafzadeh, ACM Inlt. Conf. on Wireless Health<\/strong><\/em>, November 2013. [pdf<\/a>]<\/p>\n

[C7] Objective Assessment of Overexcited Hand Movements using a Lightweight Sensory Device<\/strong><\/span>
Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Andrew Yew, Ruth Getachew, Mehrdad Razaghy, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Marie Espinal, Jon Kimball, Daniel C. Lu, Majid Sarrafzadeh, IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, May 2013. [pdf<\/a>]<\/p>\n

[C6] MET Calculations from On-Body Accelerometers for Exergaming Movements<\/strong><\/span>
Bobak Mortazavi, Nabil Alsharufa, Sunghoon Ivan Lee, Mars Lan, Michael Chronley, Christian K. Roberts, Majid Sarrafzadeh,
IEEE Intl. Conf. on Body Sensor Networks (IEEE BSN)<\/strong><\/em>, May 2013. [pdf<\/a>]<\/p>\n

[C5] Multimodal Energy Expenditure Calculation for Pervasive Health: A Data Fusion Model using Wearable Sensors<\/strong><\/span>
Haik Kalantarian, Sunghoon Ivan Lee, Anurag Mishra, Hassan Ghasemzadeh, Majid Sarrafzadeh, IEEE PerCom Workshop on Smart Environment and Ambient Intelligence<\/strong><\/em>, March 2013. [pdf<\/a>]<\/p>\n

[C4] ExerLink: Enabling Pervasive Social Exergames with Heterogeneous Exercise Devices<\/strong><\/span>
Taiwoo Park, Inseok Hwan, Uichin Lee, Sunghoon Ivan Lee, Chungkuk Yoo, H. Jang, S. Choe, S. Park, Junehwa Song, ACM Intl. Conf. on Mobile Systems, Applications, and Services (ACM MobiSys)<\/strong><\/em>, June 2012. [pdf<\/a>]<\/p>\n

[C3] MARHS: Mobility Assessment System with Remote Healthcare Functionality for Movement Disorders<\/strong><\/span>
Sunghoon Ivan Lee, Jonathan Woodbridge, Ani Nahapetian, Majid Sarrafzadeh, ACM SIGHIT International Health Informatics Symposium 2012 (SIGHIT IHI)<\/strong><\/em>, January 2012. [pdf<\/a>] [ppt<\/a>].<\/p>\n

[C2] A Mechanism for Data Quality Estimation of On-Body Cardiac Sensor Networks<\/strong><\/span>
Sunghoon Ivan Lee, Charles Ling, Ani Nahapetian, Majid Sarrafzadeh, IEEE Consumer Communication and Networking Conference (IEEE CCNC)<\/em><\/strong>, January 2012. [pdf<\/a>] [ppt<\/a>]<\/p>\n

[C1] F<\/strong>oresighted Joint Resource Reciprocation and Scheduling Strategies for Real-time Video Streaming over Peer-to-Peer Networks<\/strong><\/span>
Sunghoon Ivan Lee, Hyunggon Park, and Mihaela van der Schaar, Int. Packet Video Workshop<\/strong><\/em>, May 2009. [pdf<\/a>]<\/p>\n

Abstracts \/ Posters \/ Demos<\/h4>\n

[A31] Noor Mohammed, Jeremy Gummeson, Robert W Jackson, and Sunghoon Ivan Lee, \u201cIntra-Body Power Transfer via Capacitive Coupling,\u201d IEEE Intl. Conf. on Body Sensor Networks(IEEE BSN), Chicago, USA, October 2024.<\/p>\n

[A30] Brandon Oubre, Kallie Whritenour, Jean-Francois Daneault, Anoopum S. Gupta, and Sunghoon Ivan Lee, \u201cEstimation of Ataxia Severity using Wrist-Worn Sensors and the Finger-to-Nose Test,\u201d Ataxia Investigators Meeting, Denver, USA, March 2020.<\/p>\n

[A29] Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee, \u201cDemo<\/span> Abstract: Enabling Battery-less Wearable Sensors via Intra-Body Power Transfer,\u201d The 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys\u201919), New York, USA, November, 2019.<\/p>\n

[A28] Kai Chen, Lili Chen, Dianhe Han, Jie Xiong, Sunghoon Ivan Lee, Xiaojiang Chen, Zhangyong Tang, Dingyi Fang, Fuwei Wang, Zheng Wang, \u201cPoster<\/span> Abstract: Towards Wide-Area Contactless Human Sensing,\u201d The 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys\u201919), New York, USA, November, 2019.<\/p>\n

[A27] Nicholas Williams, Ethan Steiner, Tenzin Nanglo, Mahmood Jasim, Jaehyun Kim, Jean-Francois Daneault, Katherine Boyer, Sunghoon Ivan Lee, \u201cA Low-Cost Wearable System to Estimate Free-Living 3D Ground Reaction Force,\u201d The 16th<\/sup> IEEE International Conference on Wearable and Implantable Body Sensor Networks (IEEE BSN\u201919), Chicago, USA, May, 2019.<\/p>\n

[A26] Jeremy Yang, Adam Varga, Karine Tung, Aparimit Chandra, Brandon Oubre, Nathan Ramasarma, Eun Kyoung Choe, Paolo Bonato, Sunghoon Ivan Lee, \u201cA Finger-Worn Sensor Network for Monitoring the Real-World Performance of Stroke Survivors,\u201d The 16th<\/sup> IEEE International Conference on Wearable and Implantable Body Sensor Networks (IEEE BSN\u201919), Chicago, USA, May, 2019. [pdf<\/a>]<\/p>\n

[A25] Aparimit Chandra, Renos Zabounidis, Karine Tung, Hee-Tae Jung,Jean-Francois Daneault, and Sunghoon I. Lee, \u201cSmartDiagnostics: A Mobile Application for the Monitoring and Management of Movement Disorders,\u201d IEEE International Conference on Biomedical and Health Informatics (IEEE BHI\u201919), Chicago, USA, May, 2019.<\/p>\n

[A24] Sunghoon Ivan Lee, Jean-Francois Daneault, Katherine Boyer, \u201cEstimating Ground Reaction Force and Center of Pressure During Gait Using a Low-Cost, Body-Networked Wearable System,\u201d 2018 IEEE International Conference on Biomedical and Health Informatics (IEEE BHI\u201918), Las Vegas, March, 2018.<\/p>\n

[A23] Xin Liu, Smita Rajan, Gabriel Hollander, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, \u201cA Novel Finger-Worn Sensor for Ambulatory Monitoring of Hand Use,\u201d The 2nd IEEE\/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (IEEE\/ACM CHASE 2017), Philadelphia, July, 2017 [NSF Student Traveling Award for X. Liu<\/strong><\/span>].<\/p>\n

[A22] Jean-Francois Daneault, Sunghoon Ivan Lee, Fatemeh Golabchi, Shyamal Patel, Ludy Shih, Sabrina Pagnoni, Paolo Bonato, \u201cEstimating Bradykinesia in Parkinson\u2019s Disease with a Minimum Number of Wearable Sensors,\u201d The 2nd IEEE\/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (IEEE\/ACM CHASE 2017), Philadelphia, July, 2017.<\/p>\n

[A21] Stefano Sapienza, Catherine Adans-Dester, Anne O\u2019Brien, Gloria Vergara Diaz, Sunghoon Ivan Lee, Shyamal Patel, Randie Black-Schaffer, Ross Zafonte, Paolo Bonato, Claire MEagher, Anne-Marie Hughes, Jane Burridge, Danilo Demarchi, \u201cUsing a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors,\u201d The 2nd IEEE\/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (IEEE\/ACM CHASE 2017), Philadelphia, July, 2017.<\/p>\n

[A20] Smita Rajan, Xin Liu, Gabriel Hollander, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, \u201cA Finger-Worn Ring Sensor to Capture Hand Movements in an Ambulatory Setting,\u201d 94th Annual Conference of American Congress of Rehabilitation Medicine (ACRM), Atlanta, USA, Oct, 2017.<\/p>\n

[A19] Catherine Adans-Dester, Paolo Bonato, Ariel Dowling, Joseph Gwin, Sunghoon Ivan Lee, Anne O\u2019Brian, \u201cWrist-Worn Sensors for Tele-Rehabilitation of the Hemiparetic Upper-Extremity: Stakeholder Interviews for Feedback and Usability,\u201d 94th Annual Conference of American Congress of Rehabilitation Medicine (ACRM), Atlanta, USA, Oct, 2017.<\/p>\n

[A18] Gianluca Costante, Edoardo Bonizzoni, Alessandro Puiatti, Sunghoon Ivan Lee, Paolo Bonato, \u201cMercuryLive 4.0 \u2013 A Web Platform to Enable Remote Monitoring of Patients with Parkinson\u2019s Disease Using Wearable Sensors,\u201d 2017 IEEE Body Sensor Network Conference (IEEE BSN\u201917), Eindhoven, The Netherlands, May, 2017.<\/p>\n

[A17] Jean-Francois Daneault, Christoph Kanzler, Sunghoon Ivan Lee, Fatemah Noushin Golachi, Gloria Vergara-Diaz, Gabriela Ferreira Carvalho, Eric Fabara, Stefano Sapienza, Lewis. Sudarsky, John Growdon, Paolo Bonato, \u201cExploring the Use of Wearable Sensors to Monitor Drug Response of Patients with Parkinson\u2019s Disease in the Home Setting,\u201d vol. 88, no. 16-Supplement, Neurology, April, 2017.<\/p>\n

[A16] Xin Liu, Smita Rajan, Gabriel Hollander, Marissa Radensky, Sunghoon Ivan Lee, \u201cA Novel Method for Quantifying Fine Hand Movements in Stroke Survivors,\u201d 23rd<\/sup> Annual Massachusetts Statewide Undergraduate Research Conferencce, Amherst, April, 2017<\/p>\n

[A15] Christoph M. Kanzler, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemah Noushin Golachi, Julius Hannink, Cristian Pasluosta, Bjoern M. Eskofier, Paolo Bonato, \u201cHome monitoring of drug response in patients with Parkinson\u2019s disease using wearable sensors,\u201d IEEE Wireless Health 2016 (IEEE WH\u201915), Bethesda, MD, October, 2016<\/p>\n

\u265a<\/strong><\/span> [A14] Sunghoon Ivan Lee, Catherine Adans-Dester, Anne O\u2019Brien, Gloria Vergara-Diaz, Ross D. Zafonte, Randie M. Black-Schaffer, Paolo Bonato, \u201cUsing Wearable Motion Sensors to Estimate Longitudinal Changes in Movement Quality in Stroke and Traumatic Brain Injury Survivors Undergoing Rehabilitation,\u201d 93rd Annual Conference of American Congress of Rehabilitation Medicine (ACRM), Chicago, USA, Oct, 2016 [Best Poster Nomination<\/strong><\/span>].<\/p>\n

[A13] Jean-Francois Daneault, Fatemah Noushin Golachi, Sunghoon Ivan Lee, Gloria Vergara-Diaz, Gabriela Ferreira Carvalho, Eric Fabara, Stefano Sapienza, Paolo Bonato, \u201cMonitoring dyskinesia severity using wearable sensor data,\u201d the 20th International Congress of Parkinson\u2019s Disease and Movement Disorders, Berlin, Germany, June, 2016<\/p>\n

[A12] Sunghoon Ivan Lee, Catherine Pierre Adans-Dester, Gloria Vergara Diaz, Giovanni Mascia, Shyamal Patel, Randie Black-Schaffer, Ross Zafonte, Paolo Bonato, \u201cUsing Wearable Motion Sensors to Estimate Longitudinal Changes in Movement Quality in Stroke Survivors Undergoing Rehabilitation,\u201d Wireless Health 2015 (WH2015), Bethesda, MD, October, 2015<\/p>\n

[A11] Monica Arnell, Eunjeong Park, Sunghoon Ivan Lee, Charles Li, Andrew Campion, Ruth Getachew, Daniel C. Lu, \u201cWireless technology to assess neuromotor function during substance use,\u201d Congress of Neurological Surgeons, Boston, MA, October, 2015<\/p>\n

[A10] Sunghoon Ivan Lee, Nicolas Menard, Bor-rong Chen, Muzaffer Yalgin Ozsecen, Paolo Bonato, \u201cMercuryLive+:Towards Robust Remote Monitoring of Patients with Neuromotor Deficits Using Wearable Sensor Networks,\u201d Mobile Health in Rehabilitation, Boston, MA, October, 2014<\/p>\n

[A9] Muzaffer Yalgin Ozsecen, Sunghoon Ivan Lee, Nicolas Menard, N. Chen, Paolo Bonato, \u201cAssessing the Usability of a Knee Range of Motion Monitoring Device (KROMM) for Long-term Home with OA Patients,\u201d Mobile Health in Rehabilitation, Boston, MA, October, 2014<\/p>\n

[A8] Haydn Hoffman, Charles H. Li, Sunghoon Ivan Lee, Jordan Garst, Marie Espinal, Nima Jahanforouz, Amir Ali Ghavamrezaii, Majid Sarrafzadeh, Daniel C. Lu, \u201cUse of Multivariate Linear Regression Models and Support Vector Regression Models to Predict Outcome in Patients Undergoing Surgery for Cervical Spondylotic Myelopathy,\u201d Congress of Neurological Surgeons 2014 Annual Meeting (CNS 2014), Boston, MA, October, 2014<\/p>\n

[A7] Charles H. Li, Sunghoon Ivan Lee, Derek S. Lu, Peter Culmer, Daniel C. Lu, Irene Wu, \u201cNovel Mobile Devices for Assessing Efficacy of Cervical Epidural Steroid Injection,\u201d Western Regional Anesthesia Conference, Century City, USA, May, 2014.<\/p>\n

[A6] Monica Arnell, Sunghoon Ivan Lee, Eunjeong Park, Charles Li, Ruth Getachew, Daniel C. Lu, \u201cWireless Technology for Motor Assessment in Patients with Lumbar Spine Injury,\u201d 82nd American Association of Neurological Surgeons (AANS) Annual Scientific Meeting, San Francisco, USA, April, 2014.<\/p>\n

[A5] Nicholas Au Yong, Sunghoon Ivan Lee, Ruth Getachew, Jon Kimball, Majid Sarrafzadeh, Daniel D. Lu, \u201cCharacterizing Transient Activation Hypertonia during a Handgrip Force Tracking Task in Cervical Myelopathy,\u201d Neuroscience<\/a>, San Diego, California, USA, November, 2013. [view<\/a>]<\/p>\n

[A4] Sunghoon Ivan Lee, Hassan Ghasemzadeh, Andrew Yew, Ruth Getachew, Jon Kimball, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Mehrdad Razaghy, Daniel C. Lu, Majid Sarrafzadeh, \u201cObjective Assessment of Spastic Hand Hypertonia using a Novel Digital Device,\u201d The 20th IAGG World Congress of Gerontology and Geriatrics, Seoul, Korea, June, 2013. [pdf<\/a>]<\/p>\n

[A3] Ruth Getachew, Sunghoon Ivan Lee, Jon Kimball, Andrew Yew, Nima Ghalehasari, Brian H. Paak, Daniel C. Lu, Majid Sarrafzadeh, \u201cUtilization of a Novel Digital Measurement Tool for Quantitative Assessment of Upper Extremity Motor Dexterity in Cervical Spondylotic Myelopathy,\u201d (Abstract) 29th Annual Meeting of the AANS\/CNS Disorders of the Spine and Peripheral Nerves<\/a>, Phoenix, Arizona, USA, March, 2013. [pdf<\/a>]<\/p>\n

[A2] Sunghoon Ivan Lee, Ruth Getachew, Jon Kimball, Andrew Yew, Nima Ghalehasari, Brian H. Paak, Jordan H. Garst, Daniel C. Lu, Majid Sarrafzadeh, \u201cUtilization of a Novel Digital Device and an Analytic Method for Accurate Measurement of Upper Extremity Motor Function,\u201d (Abstract) 81st American Association of Neurological Surgeons (AANS) Annual Scientific Meeting<\/a>, New Orleans, Louisiana, USA, April, 2013. [pdf<\/a>]<\/p>\n

\u265a<\/strong><\/span> [A1] Taiwoo Park, Inseok Hwan, Uichin Lee, Sunghoon Ivan Lee, Chungkuk Yoo, H. Jang, S. Choe, S. Park, Junehwa Song, \u201cExerLink: Enabling Pervasive Social Exergames with Heterogeneous Exercise Devices\u201dACM MobiSys 2012 Demonstration<\/a>, Lake District, UK, June, 2012. [Best Demo Award<\/strong><\/span>] [pdf<\/a>] Also demonstrated at IEEE SECON 2012 [Best Demo Honorable Mention<\/strong><\/span>]<\/p>","protected":false},"excerpt":{"rendered":"

Selected Publication \u265a [J49] Contrastive Learning Model for Wearable-based Ataxia AssessmentJuhyeon Lee, Brandon Oubre, Jean-Francois Daneault, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta, Sunghoon Ivan Lee, IEEE Transactions on Biomedical Engineering (IEEE TBME), April 2026. [Featured Article of the Issue]. [J47] Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor PerformanceYunda Liu,… Continue reading Publications<\/span><\/a><\/p>\n","protected":false},"author":75,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-193","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/pages\/193","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/users\/75"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/comments?post=193"}],"version-history":[{"count":109,"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/pages\/193\/revisions"}],"predecessor-version":[{"id":592,"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/pages\/193\/revisions\/592"}],"wp:attachment":[{"href":"https:\/\/groups.cs.umass.edu\/ahha\/wp-json\/wp\/v2\/media?parent=193"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}