Publications

Selected Publication

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

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

♚ [J20] Estimating Upper-Limb Impairment Level in Stroke Survivors using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task
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), March 2020. [Featured Article of the Issue].

♚ [J16] Remote Assessment of Cognitive Impairment Level based on Serious Mobile Game Performance
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), May, 2019 [download]. [Cover Article of the Issue]

2024

[C38] Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design
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), May 2024. [*Co-corresponding authors]

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

2023

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

♚ [C37] VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications
Ignacio Gavier, Yunda Liu, Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks(IEEE BSN), October 2023. [Best Demo Award]

[C36] A Wearable System to Monitor Gait Modification
Yunda Liu, Skyler Holmes, Katherine Boyer, Sunghoon Ivan Lee, IEEE Intl. Conf. on Body Sensor Networks(IEEE BSN), October 2023.

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

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

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

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

2022

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

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

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

[C32] Experience: Practical Problems for Acoustic Sensing
Dong Li, Shirui Cao, Sunghoon Ivan Lee, Jie Xiong, ACM Intl. Conf. on Mobile Computing and Communication (ACM MobiCom), Oct 2022.

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

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

[J35] Analysis of Gait Sub-Movements to Estimate Ataxia Severity using Ankle Inertial Data
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), July 2022. [*Co-corresponding authors].

♚ [J34] Charging Wearable Devices Through Natural Interactions with Instrumented Everyday Objects
Noor Mohammed, Rui Wang, Robert Jackson, Yeonsik Noh, Jeremy Gummeson*, Sunghoon Ivan Lee*, ACM GetMobile: Mobile Comp. and Comm., June 2022. [Invited Paper].

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

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

2021

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

[C29] Estimating the Quality of Reaching Movements in Stroke Survivors
Juhyeon Lee, Hee-Tae Jung, Sunghoon Ivan Lee, IEEE Intl. Conf. on Biomedical and Health Informatics (IEEE BHI), July 2021.

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

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

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

2020

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

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

[C28] Towards Battery-Free Body Sensor Networks
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), November 2020.

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

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

[J22] Enabling Precision Rehabilitation Interventions Using Wearable Sensors and Machine Learning to Track Motor Recovery
Catherine Adans-Dester, Nicolas Hankov, Anne O’Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer Dy, Sunghoon Ivan Lee, and Paolo Bonato, NPJ Digital Medicine, September 2020.

[J21] Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
Catherine Adans-Dester, …, Sunghoon Ivan Lee, …, and Paolo Bonato, IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB), September 2020.

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

2019

[J19] Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors
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), December 2019 [*Co-corresponding authors]

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

♚ [C24] WideSee: Towards Wide-Area Contactless Wireless Sensing
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), New York, USA, November 2019. [Best Paper Nominee]

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

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

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

[C22] Predicting Cognitive Impairment Level after a Serious Game-based Therapy in Chronic Stroke Survivors
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), May 2019.

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

♚ [J14] The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings
Xin Liu, Smia Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2019. [Cover Article Nominee]

2018 and beyond

[J13] Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training
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), 2018. [pdf]

[C21] Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor
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), August 2018.

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

[C19] Estimating Mini-Mental State Examination Scores using Game-Specific Performance Values: A Preliminary Study
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), August 2018

[C18] Feasibility of Using the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Randomized Controlled Trial
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), August 2018.

[C17] A Wearable Monitoring System for At-Home Stroke Rehabilitation Exercises: A Preliminary Study
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), March 2018. [NSF Student Traveling Award for H.T. Jung]

♚ [J12] Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring
Bjoern M. Eskofier, Sunghoon Ivan Lee, Manuela Baron, André Simon, Christine F. Martindale, Heiko Gaßner and Jochen KluckenAn
Applied Sciences (Appl. Sci.), 2017, [pdf]. [Featured Article of the Issue]

[J11] Finding Predictors for Postoperative Clinical Outcome in Lumbar Spinal Stenosis Patients using Smart-shoe Technology
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), 2017 [pdf].

[J10] Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart Shoes
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), 2017. [pdf]

[J9] Clinical Management of Drug-Induced Dyskinesia in Parkinson’s Disease: Why Current Approaches May Need to be Changed to Optimize Quality of Life
Jean-Francois Daneault, Gloria Vergara-Diaz, Sunghoon Ivan Lee, European Medical Journal Reviews (EMJ-R), 2016 [pdf]

[J8] Quantitative Assessment of Hand Motor Function in Cervical Spinal Disorder Patients Using Target Tracking Tests
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), 2016 [pdf]

[J7] Objectively Quantifying Walking Ability in Degenerative Spinal Disorder Patients using Sensor Equipped Smart Shoes
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), 2016. [pdf]

[J6] User-Optimized Activity Recognition for Exergaming
Bobak Mortazavi, Mohammad Pourhomayoun, Sunghoon Ivan Lee, Suneil Nyamathi, Brandon Wu, Majid Sarrafzadeh, Pervasive and Mobile Computing (PMC), 2016.[pdf]

♚ [J5] A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients using Gaussian Process Regression
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), 2016, [pdf]. [Cover Article Nominee]

[C16] Recent Machine Learning Advancements in Sensor-based Mobility Analysis: Deep learning for Parkinson’s Disease Assessment
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), August 2016 [pdf].

[C15] A Novel Flexible Wearable Sensor for Estimating Joint-Angles
Sunghoon Ivan Lee, Jean-Francois Daneault, Luc Weydert, Paolo Bonato, IEEE Intl. Conf. on Body Sensor Network (IEEE BSN), June 2016 [pdf]

[J4] Use of Multivariate Linear Regression and Support Vector Regression to Predict Functional Outcome After Surgery for Cervical Spondylotic Myelopathy
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), 2015 [pdf]

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

[C13] Activity Detection in Uncontrolled Free-living Conditions Using a Single Accelerometer
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), June 2015 [pdf]

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

[J3] Utilization of A Novel Digital Measurement Tool for Quantitative Assessment of Upper Extremity Motor Dexterity: A Controlled Pilot Study
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), 2014. [pdf]

♚ [J2] Near-Realistic Mobile Exergames with Wireless Wearable Sensors
Bobak Mortazavi, Suneil Nyamathy, Sunghoon Ivan Lee, T. Wilkerson, Hassan Ghasemzadeh, Majid Sarrafzadeh, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2014. [pdf] [Featured Article of the Issue]

[C11] Support Vector Regression for METs of Exergaming Actions
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), October 2014, [pdf]

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

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

[J1] Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System
Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Majid Sarrafzadeh, IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2013. [pdf]

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

[C7] Objective Assessment of Overexcited Hand Movements using a Lightweight Sensory Device
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), May 2013. [pdf]

[C6] MET Calculations from On-Body Accelerometers for Exergaming Movements
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), May 2013. [pdf]

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

[C4] ExerLink: Enabling Pervasive Social Exergames with Heterogeneous Exercise Devices
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), June 2012. [pdf]

[C3] MARHS: Mobility Assessment System with Remote Healthcare Functionality for Movement Disorders
Sunghoon Ivan Lee, Jonathan Woodbridge, Ani Nahapetian, Majid Sarrafzadeh, ACM SIGHIT International Health Informatics Symposium 2012 (SIGHIT IHI), January 2012. [pdf] [ppt].

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

[C1] Foresighted Joint Resource Reciprocation and Scheduling Strategies for Real-time Video Streaming over Peer-to-Peer Networks
Sunghoon Ivan Lee, Hyunggon Park, and Mihaela van der Schaar, Int. Packet Video Workshop, May 2009. [pdf]

Abstracts / Posters / Demos

[A30] Brandon Oubre, Kallie Whritenour, Jean-Francois Daneault, Anoopum S. Gupta, and Sunghoon Ivan Lee, “Estimation of Ataxia Severity using Wrist-Worn Sensors and the Finger-to-Nose Test,” Ataxia Investigators Meeting, Denver, USA, March 2020.

[A29] Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee, “Demo Abstract: Enabling Battery-less Wearable Sensors via Intra-Body Power Transfer,” The 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys’19), New York, USA, November, 2019.

[A28] Kai Chen, Lili Chen, Dianhe Han, Jie Xiong, Sunghoon Ivan Lee, Xiaojiang Chen, Zhangyong Tang, Dingyi Fang, Fuwei Wang, Zheng Wang, “Poster Abstract: Towards Wide-Area Contactless Human Sensing,” The 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys’19), New York, USA, November, 2019.

[A27] Nicholas Williams, Ethan Steiner, Tenzin Nanglo, Mahmood Jasim, Jaehyun Kim, Jean-Francois Daneault, Katherine Boyer, Sunghoon Ivan Lee, “A Low-Cost Wearable System to Estimate Free-Living 3D Ground Reaction Force,” The 16^th IEEE International Conference on Wearable and Implantable Body Sensor Networks (IEEE BSN’19), Chicago, USA, May, 2019.

[A26] Jeremy Yang, Adam Varga, Karine Tung, Aparimit Chandra, Brandon Oubre, Nathan Ramasarma, Eun Kyoung Choe, Paolo Bonato, Sunghoon Ivan Lee, “A Finger-Worn Sensor Network for Monitoring the Real-World Performance of Stroke Survivors,” The 16^th IEEE International Conference on Wearable and Implantable Body Sensor Networks (IEEE BSN’19), Chicago, USA, May, 2019. [pdf]

[A25] Aparimit Chandra, Renos Zabounidis, Karine Tung, Hee-Tae Jung,Jean-Francois Daneault, and Sunghoon I. Lee, “SmartDiagnostics: A Mobile Application for the Monitoring and Management of Movement Disorders,” IEEE International Conference on Biomedical and Health Informatics (IEEE BHI’19), Chicago, USA, May, 2019.

[A24] Sunghoon Ivan Lee, Jean-Francois Daneault, Katherine Boyer, “Estimating Ground Reaction Force and Center of Pressure During Gait Using a Low-Cost, Body-Networked Wearable System,” 2018 IEEE International Conference on Biomedical and Health Informatics (IEEE BHI’18), Las Vegas, March, 2018.

[A23] Xin Liu, Smita Rajan, Gabriel Hollander, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee, “A Novel Finger-Worn Sensor for Ambulatory Monitoring of Hand Use,” 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].

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

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

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

[A19] Catherine Adans-Dester, Paolo Bonato, Ariel Dowling, Joseph Gwin, Sunghoon Ivan Lee, Anne O’Brian, “Wrist-Worn Sensors for Tele-Rehabilitation of the Hemiparetic Upper-Extremity: Stakeholder Interviews for Feedback and Usability,” 94th Annual Conference of American Congress of Rehabilitation Medicine (ACRM), Atlanta, USA, Oct, 2017.

[A18] Gianluca Costante, Edoardo Bonizzoni, Alessandro Puiatti, Sunghoon Ivan Lee, Paolo Bonato, “MercuryLive 4.0 – A Web Platform to Enable Remote Monitoring of Patients with Parkinson’s Disease Using Wearable Sensors,” 2017 IEEE Body Sensor Network Conference (IEEE BSN’17), Eindhoven, The Netherlands, May, 2017.

[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, “Exploring the Use of Wearable Sensors to Monitor Drug Response of Patients with Parkinson’s Disease in the Home Setting,” vol. 88, no. 16-Supplement, Neurology, April, 2017.

[A16] Xin Liu, Smita Rajan, Gabriel Hollander, Marissa Radensky, Sunghoon Ivan Lee, “A Novel Method for Quantifying Fine Hand Movements in Stroke Survivors,” 23^rd Annual Massachusetts Statewide Undergraduate Research Conferencce, Amherst, April, 2017

[A15] Christoph M. Kanzler, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemah Noushin Golachi, Julius Hannink, Cristian Pasluosta, Bjoern M. Eskofier, Paolo Bonato, “Home monitoring of drug response in patients with Parkinson’s disease using wearable sensors,” IEEE Wireless Health 2016 (IEEE WH’15), Bethesda, MD, October, 2016

♚ [A14] Sunghoon Ivan Lee, Catherine Adans-Dester, Anne O’Brien, Gloria Vergara-Diaz, Ross D. Zafonte, Randie M. Black-Schaffer, Paolo Bonato, “Using Wearable Motion Sensors to Estimate Longitudinal Changes in Movement Quality in Stroke and Traumatic Brain Injury Survivors Undergoing Rehabilitation,” 93rd Annual Conference of American Congress of Rehabilitation Medicine (ACRM), Chicago, USA, Oct, 2016 [Best Poster Nomination].

[A13] Jean-Francois Daneault, Fatemah Noushin Golachi, Sunghoon Ivan Lee, Gloria Vergara-Diaz, Gabriela Ferreira Carvalho, Eric Fabara, Stefano Sapienza, Paolo Bonato, “Monitoring dyskinesia severity using wearable sensor data,” the 20th International Congress of Parkinson’s Disease and Movement Disorders, Berlin, Germany, June, 2016

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

[A11] Monica Arnell, Eunjeong Park, Sunghoon Ivan Lee, Charles Li, Andrew Campion, Ruth Getachew, Daniel C. Lu, “Wireless technology to assess neuromotor function during substance use,” Congress of Neurological Surgeons, Boston, MA, October, 2015

[A10] Sunghoon Ivan Lee, Nicolas Menard, Bor-rong Chen, Muzaffer Yalgin Ozsecen, Paolo Bonato, “MercuryLive+:Towards Robust Remote Monitoring of Patients with Neuromotor Deficits Using Wearable Sensor Networks,” Mobile Health in Rehabilitation, Boston, MA, October, 2014

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

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

[A7] Charles H. Li, Sunghoon Ivan Lee, Derek S. Lu, Peter Culmer, Daniel C. Lu, Irene Wu, “Novel Mobile Devices for Assessing Efficacy of Cervical Epidural Steroid Injection,” Western Regional Anesthesia Conference, Century City, USA, May, 2014.

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

[A5] Nicholas Au Yong, Sunghoon Ivan Lee, Ruth Getachew, Jon Kimball, Majid Sarrafzadeh, Daniel D. Lu, “Characterizing Transient Activation Hypertonia during a Handgrip Force Tracking Task in Cervical Myelopathy,” Neuroscience, San Diego, California, USA, November, 2013. [view]

[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, “Objective Assessment of Spastic Hand Hypertonia using a Novel Digital Device,” The 20th IAGG World Congress of Gerontology and Geriatrics, Seoul, Korea, June, 2013. [pdf]

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

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

♚ [A1] Taiwoo Park, Inseok Hwan, Uichin Lee, Sunghoon Ivan Lee, Chungkuk Yoo, H. Jang, S. Choe, S. Park, Junehwa Song, “ExerLink: Enabling Pervasive Social Exergames with Heterogeneous Exercise Devices”ACM MobiSys 2012 Demonstration, Lake District, UK, June, 2012. [Best Demo Award] [pdf] Also demonstrated at IEEE SECON 2012 [Best Demo Honorable Mention]