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Sunghoon Ivan Lee
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- affiliation: University of Massachusetts Amherst, MA, USA
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2020 – today
- 2024
- [j23]Brandon Oubre, Sunghoon Ivan Lee:
Detection and Assessment of Point-to-Point Movements During Functional Activities Using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist. IEEE J. Biomed. Health Informatics 28(2): 1022-1030 (2024) - [c42]Hochul Hwang, Hee-Tae Jung, Nicholas A Giudice, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim:
Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design. CHI 2024: 596:1-596:20 - [i3]Hochul Hwang, Hee-Tae Jung, Nicholas A Giudice, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim:
Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design. CoRR abs/2402.06790 (2024) - [i2]Hochul Hwang, Ken Suzuki, Nicholas A Giudice, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim:
Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance. CoRR abs/2409.19778 (2024) - 2023
- [j22]Lili Chen, Kai Chen, Jie Xiong, Ke Li, Sunghoon Ivan Lee, Fuwei Wang, Zhanyong Tang, Zheng Wang, Dingyi Fang, Xiaojiang Chen:
Toward Wide-Area Contactless Wireless Sensing. IEEE/ACM Trans. Netw. 31(2): 590-605 (2023) - [c41]Ignacio Gavier, Yunda Liu, Sunghoon Ivan Lee:
VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications. BSN 2023: 1-4 - [c40]Yunda Liu, Skylar Holmes, Katherine Boyer, Sunghoon Ivan Lee:
A Wearable System to Monitor Gait Modification. BSN 2023: 1-4 - [c39]Hochul Hwang, Tim Xia, Ibrahima Keita, Ken Suzuki, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim:
System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work. ICRA 2023: 9778-9784 - [c38]Shirui Cao, Dong Li, Sunghoon Ivan Lee, Jie Xiong:
PowerPhone: Unleashing the Acoustic Sensing Capability of Smartphones. MobiCom 2023: 56:1-56:16 - 2022
- [j21]Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong:
LASense: Pushing the Limits of Fine-grained Activity Sensing Using Acoustic Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 21:1-21:27 (2022) - [j20]Yuqing Yin, Xu Yang, Jie Xiong, Sunghoon Ivan Lee, Pengpeng Chen, Qiang Niu:
Ubiquitous Smartphone-Based Respiration Sensing With Wi-Fi Signal. IEEE Internet Things J. 9(2): 1479-1490 (2022) - [j19]Noor Mohammed, Rui Wang, Robert W. Jackson, Yeonsik Noh, Jeremy Gummeson, Sunghoon Ivan Lee:
Charging Wearable Devices Through Natural Interactions with Instrumented Everyday Objects. GetMobile Mob. Comput. Commun. 26(2): 29-33 (2022) - [j18]Brandon Oubre, Spencer Lane, Skylar Holmes, Katherine Boyer, Sunghoon Ivan Lee:
Estimating Ground Reaction Force and Center of Pressure Using Low-Cost Wearable Devices. IEEE Trans. Biomed. Eng. 69(4): 1461-1468 (2022) - [j17]Juhyeon Lee, Brandon Oubre, Jean-Francois Daneault, Christopher D. Stephen, Jeremy D. Schmahmann, Anoopum S. Gupta, Sunghoon Ivan Lee:
Analysis of Gait Sub-Movements to Estimate Ataxia Severity Using Ankle Inertial Data. IEEE Trans. Biomed. Eng. 69(7): 2314-2323 (2022) - [j16]Yunda Liu, Brandon Oubre, Christian Duval, Sunghoon Ivan Lee, Jean-Francois Daneault:
A Kinematic Data-Driven Approach to Differentiate Involuntary Choreic Movements in Individuals With Neurological Conditions. IEEE Trans. Biomed. Eng. 69(12): 3784-3791 (2022) - [c37]Brandon Oubre, Sunghoon Ivan Lee:
Estimating Post-Stroke Upper-Limb Impairment from Four Activities of Daily Living using a Single Wrist-Worn Inertial Sensor. BHI 2022: 1-4 - [c36]Noor Mohammed, Robert W. Jackson, Jeremy Gummeson, Sunghoon Ivan Lee:
Wireless Intra-Body Power Transfer via Capacitively Coupled Link. BSN 2022: 1-4 - [c35]Dong Li, Shirui Cao, Sunghoon Ivan Lee, Jie Xiong:
Experience: practical problems for acoustic sensing. MobiCom 2022: 381-390 - [c34]Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong:
Room-Scale Hand Gesture Recognition Using Smart Speakers. SenSys 2022: 462-475 - [e1]Jeremy Gummeson, Sunghoon Ivan Lee, Jie Gao, Guoliang Xing:
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022, Boston, Massachusetts, November 6-9, 2022. ACM 2022, ISBN 978-1-4503-9886-2 [contents] - [i1]Hochul Hwang, Tim Xia, Ibrahima Keita, Ken Suzuki, Joydeep Biswas, Sunghoon Ivan Lee, Donghyun Kim:
System Configuration and Navigation of a Guide Dog Robot: Toward Animal Guide Dog-Level Guiding Work. CoRR abs/2210.13368 (2022) - 2021
- [j15]Noor Mohammed, Rui Wang, Robert W. Jackson, Yeon-Sik Noh, Jeremy Gummeson, Sunghoon Ivan Lee:
ShaZam: Charge-Free Wearable Devices via Intra-Body Power Transfer from Everyday Objects. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 75:1-75:25 (2021) - [j14]Sunghoon Ivan Lee, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria P. Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Paolo Bonato:
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Trans. Biomed. Eng. 68(6): 1871-1881 (2021) - [c33]Juhyeon Lee, Hee-Tae Jung, Sunghoon Ivan Lee:
Estimating the Quality of Reaching Movements in Stroke Survivors. BHI 2021: 1-4 - 2020
- [j13]Catherine P. Adans-Dester, Nicolas Hankov, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Sunghoon Ivan Lee, Paolo Bonato:
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. npj Digit. Medicine 3 (2020) - [j12]Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee:
Enabling Batteryless Wearable Devices by Transferring Power Through The Human Body. GetMobile Mob. Comput. Commun. 24(3): 30-34 (2020) - [j11]Brandon Oubre, Jean-Francois Daneault, Katherine Boyer, Jae Hyun Kim, Mahmood Jasim, Paolo Bonato, Sunghoon Ivan Lee:
A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics. IEEE Trans. Biomed. Eng. 67(12): 3483-3490 (2020) - [j10]Hee-Tae Jung, Taiwoo Park, Narges Mahyar, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
Rehabilitation Games in Real-World Clinical Settings: Practices, Challenges, and Opportunities. ACM Trans. Comput. Hum. Interact. 27(6): 41:1-41:43 (2020) - [c32]Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Joonwoo Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
Estimating Quality of Reaching Movement Using a Wrist-Worn Inertial Sensor. EMBC 2020: 3719-3722 - [c31]Sougata Sen, Sunghoon Ivan Lee, Robert W. Jackson, Rui Wang, Nabil Alshurafa, Josiah D. Hester, Jeremy Gummeson:
Towards Battery-Free Body Sensor Networks. ENSsys@SenSys 2020: 79-81 - [c30]Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong:
FM-track: pushing the limits of contactless multi-target tracking using acoustic signals. SenSys 2020: 150-163
2010 – 2019
- 2019
- [j9]Pooya Khaloo, Brandon Oubre, Jeremy Yang, Tauhidur Rahman, Sunghoon Ivan Lee:
NOSE: A Novel Odor Sensing Engine for Ambient Monitoring of the Frying Cooking Method in Kitchen Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 49:1-49:25 (2019) - [j8]Lili Chen, Jie Xiong, Xiaojiang Chen, Sunghoon Ivan Lee, Daqing Zhang, Tao Yan, Dingyi Fang:
LungTrack: Towards Contactless and Zero Dead-Zone Respiration Monitoring with Commodity RFIDs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 79:1-79:22 (2019) - [j7]Yoojung Kim, Hee-Tae Jung, Joonwoo Park, Yangsoo Kim, Nathan Ramasarma, Paolo Bonato, Eun Kyoung Choe, Sunghoon Ivan Lee:
Towards the Design of a Ring Sensor-based mHealth System to Achieve Optimal Motor Function in Stroke Survivors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 138:1-138:26 (2019) - [j6]Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee:
The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings. IEEE J. Biomed. Health Informatics 23(2): 599-606 (2019) - [j5]Hee-Tae Jung, Jean-Francois Daneault, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
Remote Assessment of Cognitive Impairment Level Based on Serious Mobile Game Performance: An Initial Proof of Concept. IEEE J. Biomed. Health Informatics 23(3): 1269-1277 (2019) - [c29]Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Jean-Francois Daneault, Sunghoon Ivan Lee:
Predicting Cognitive Impairment Level after a Serious Game-based Therapy in Chronic Stroke Survivors. BHI 2019: 1-4 - [c28]Youngkyun Lee, Xin Liu, Jeremy Gummeson, Sunghoon Ivan Lee:
A Wearable RFID System to Monitor Hand Use for Individuals with Upper Limb Paresis. BSN 2019: 1-4 - [c27]Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee:
SkinnyPower: enabling batteryless wearable sensors via intra-body power transfer. SenSys 2019: 68-82 - [c26]Lili Chen, Jie Xiong, Xiaojiang Chen, Sunghoon Ivan Lee, Kai Chen, Dianhe Han, Dingyi Fang, Zhanyong Tang, Zheng Wang:
WideSee: towards wide-area contactless wireless sensing. SenSys 2019: 258-270 - [c25]Rishi Shukla, Neev Kiran, Rui Wang, Jeremy Gummeson, Sunghoon Ivan Lee:
Enabling battery-less wearable sensors via intra-body power transfer: demo abstract. SenSys 2019: 396-397 - [c24]Kai Chen, Lili Chen, Dianhe Han, Jie Xiong, Sunghoon Ivan Lee, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Fuwei Wang, Zheng Wang:
Towards wide-area contactless human sensing: poster abstract. SenSys 2019: 442-443 - 2018
- [c23]Hee-Tae Jung, Joonwoo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
A wearable monitoring system for at-home stroke rehabilitation exercises: A preliminary study. BHI 2018: 13-16 - [c22]Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim, Byeongil Kim, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
Estimating Mini Mental State Examination Scores using Game-Specific Performance Values: A Preliminary Study. EMBC 2018: 1518-1521 - [c21]Joonwoo Park, Hee-Tae Jung, Jean-Francois Daneault, Sungji Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee:
Effectiveness of the RAPAEL Smart Board for Upper Limb Therapy in Stroke Survivors: A Pilot Controlled Trial. EMBC 2018: 2466-2469 - [c20]Sunghoon Ivan Lee, Hee-Tae Jung, Joonwoo Park, Jugyeong Jeong, Taekyeong Ryu, Yangsoo Kim, Vitor Sotero dos Santos, José Garcia Vivas Miranda, Jean-Francois Daneault:
Towards the Ambulatory Assessment of Movement Quality in Stroke Survivors using a Wrist-worn Inertial Sensor. EMBC 2018: 2825-2828 - [c19]Xin Liu, Smita Rajan, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee:
Finger-Worn Sensors for Accurate Functional Assessment of the Upper Limbs in Real-World Settings. EMBC 2018: 4440-4443 - 2017
- [c18]Jean-Francois Daneault, Sunghoon Ivan Lee, Fatemeh Noushin Golabchi, Shyamal Patel, Ludy C. Shih, Sabrina Paganoni, Paolo Bonato:
Estimating Bradykinesia in Parkinson's Disease with a Minimum Number of Wearable Sensors. CHASE 2017: 264-265 - [c17]Xin Liu, Smita Rajan, Gabriel Hollander, Nathan Ramasarma, Paolo Bonato, Sunghoon Ivan Lee:
A Novel Finger-Worn Sensor for Ambulatory Monitoring of Hand Use. CHASE 2017: 276-277 - [c16]Stefano Sapienza, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria Vergara-Diaz, Sunghoon Ivan Lee, Shyamal Patel, Randie Black-Schaffer, Ross Zafonte, Paolo Bonato, Claire Meagher, Ann-Marie Hughes, Jane H. Burridge, Danilo Demarchi:
Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors. CHASE 2017: 284-285 - 2016
- [j4]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Sunghoon Ivan Lee, Suneil Nyamathi, Brandon Wu, Majid Sarrafzadeh:
User-optimized activity recognition for exergaming. Pervasive Mob. Comput. 26: 3-16 (2016) - [j3]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:
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression. IEEE J. Biomed. Health Informatics 20(1): 91-99 (2016) - [c15]Sunghoon Ivan Lee, Jean-Francois Daneault, Luc Weydert:
A novel flexible wearable sensor for estimating joint-angles. BSN 2016: 377-382 - [c14]Björn M. Eskofier, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato:
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. EMBC 2016: 655-658 - 2015
- [c13]Sunghoon Ivan Lee, Muzaffer Yalgin Ozsecen, Luca Della Toffola, Jean-Francois Daneault, Alessandro Puiatti, Shyamal Patel, Paolo Bonato:
Activity detection in uncontrolled free-living conditions using a single accelerometer. BSN 2015: 1-6 - [c12]Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Shyamal Patel, Sabrina Paganoni, Ludy Shih, Paolo Bonato:
A novel method for assessing the severity of levodopa-induced dyskinesia using wearable sensors. EMBC 2015: 8087-8090 - [c11]Bobak Mortazavi, Mohammad Pourhomayoun, Suneil Nyamathi, Brandon Wu, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Multiple model recognition for near-realistic exergaming. PerCom 2015: 140-148 - 2014
- [b1]Sunghoon Ivan Lee:
Objective Assessment of Motor Deficits in Patients with Degenerative Spinal Cord Disorders. University of California, Los Angeles, USA, 2014 - [j2]Bobak Mortazavi, Suneil Nyamathi, Sunghoon Ivan Lee, Thomas Wilkerson, Hassan Ghasemzadeh, Majid Sarrafzadeh:
Near-Realistic Mobile Exergames With Wireless Wearable Sensors. IEEE J. Biomed. Health Informatics 18(2): 449-456 (2014) - [c10]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Gabriel Alsheikh, Nabil Alshurafa, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches. BSN 2014: 33-38 - [c9]Bobak Mortazavi, Sunghoon Ivan Lee, Majid Sarrafzadeh:
User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach. UbiComp Adjunct 2014: 1233-1240 - 2013
- [j1]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Majid Sarrafzadeh:
A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. IEEE J. Biomed. Health Informatics 17(6): 1023-1030 (2013) - [c8]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:
Objective assessment of overexcited hand movements using a lightweight sensory device. BSN 2013: 1-6 - [c7]Bobak Mortazavi, Nabil Alsharufa, Sunghoon Ivan Lee, Mars Lan, Majid Sarrafzadeh, Michael Chronley, Christian K. Roberts:
MET calculations from on-body accelerometers for exergaming movements. BSN 2013: 1-6 - [c6]Haik Kalantarian, Sunghoon Ivan Lee, Anurag Mishra, Hassan Ghasemzadeh, Jason J. Liu, Majid Sarrafzadeh:
Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors. PerCom Workshops 2013: 676-681 - [c5]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Mortazavi, Mars Lan, Nabil Alshurafa, Michael K. Ong, Majid Sarrafzadeh:
Remote patient monitoring: what impact can data analytics have on cost? Wireless Health 2013: 4:1-4:8 - 2012
- [c4]Sunghoon Ivan Lee, Charles Ling, Ani Nahapetian, Majid Sarrafzadeh:
A mechanism for data quality estimation of on-body cardiac sensor networks. CCNC 2012: 194-198 - [c3]Sunghoon Ivan Lee, Jonathan Woodbridge, Ani Nahapetian, Majid Sarrafzadeh:
MARHS: mobility assessment system with remote healthcare functionality for movement disorders. IHI 2012: 333-342 - [c2]Taiwoo Park, Inseok Hwang, Uichin Lee, Sunghoon Ivan Lee, Chungkuk Yoo, Youngki Lee, Hyukjae Jang, Sungwon Peter Choe, Souneil Park, Junehwa Song:
ExerLink: enabling pervasive social exergames with heterogeneous exercise devices. MobiSys 2012: 15-28 - [c1]Taiwoo Park, Inseok Hwang, Uichin Lee, Sunghoon Ivan Lee, Chungkuk Yoo, Youngki Lee, Hyukjae Jang, Sungwon Peter Choe, Souneil Park, Junehwa Song:
Demo: ExerLink - enabling pervasive social exergames with heterogeneous exercise devices. MobiSys 2012: 449-450
Coauthor Index
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last updated on 2024-12-05 21:40 CET by the dblp team
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