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Keehong Seo

Showing results (1-10 of 8) with videos related to

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IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Autonomous hip exoskeleton saves metabolic cost of walking uphillKeehong Seo, Jusuk Lee, Young Jin Park
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Assessing the Impact of IMU Sensor Location on Spatio-Temporal Gait Parameter EstimationKeehong Seo, Joonyoung Jung, Jungsik Hwang, et al.
Sensors (Basel, Switzerland)|February 14, 2018
Compact Hip-Force Sensor for a Gait-Assistance Exoskeleton SystemHyundo Choi, Keehong Seo, Seungyong Hyung, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Effects of assistance timing on metabolic cost, assistance power, and gait parameters for a hip-type exoskeletonJusuk Lee, Keehong Seo, Bokman Lim, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
End-to-End Classification of Cognitive Impairment Using Daily-Life Gait DataKeehong Seo, Jungsik Hwang, Kyungrock Kim, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 4, 2019
RNN-Based On-Line Continuous Gait Phase Estimation from Shank-Mounted IMUs to Control Ankle ExoskeletonsKeehong Seo, Young Jin Park, Jusuk Lee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 11, 2017
A Wearable Hip Assist Robot Can Improve Gait Function and Cardiopulmonary Metabolic Efficiency in Elderly AdultsHwang-Jae Lee, Suhyun Lee, Won Hyuk Chang, et al.
Stroke|October 19, 2019
Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled TrialHwang-Jae Lee, Su-Hyun Lee, Keehong Seo, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Autonomous hip exoskeleton saves metabolic cost of walking uphillKeehong Seo, Jusuk Lee, Young Jin Park
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Assessing the Impact of IMU Sensor Location on Spatio-Temporal Gait Parameter EstimationKeehong Seo, Joonyoung Jung, Jungsik Hwang, et al.
Sensors (Basel, Switzerland)|February 14, 2018
Compact Hip-Force Sensor for a Gait-Assistance Exoskeleton SystemHyundo Choi, Keehong Seo, Seungyong Hyung, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 18, 2017
Effects of assistance timing on metabolic cost, assistance power, and gait parameters for a hip-type exoskeletonJusuk Lee, Keehong Seo, Bokman Lim, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
End-to-End Classification of Cognitive Impairment Using Daily-Life Gait DataKeehong Seo, Jungsik Hwang, Kyungrock Kim, et al.
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 4, 2019
RNN-Based On-Line Continuous Gait Phase Estimation from Shank-Mounted IMUs to Control Ankle ExoskeletonsKeehong Seo, Young Jin Park, Jusuk Lee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 11, 2017
A Wearable Hip Assist Robot Can Improve Gait Function and Cardiopulmonary Metabolic Efficiency in Elderly AdultsHwang-Jae Lee, Suhyun Lee, Won Hyuk Chang, et al.
Stroke|October 19, 2019
Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled TrialHwang-Jae Lee, Su-Hyun Lee, Keehong Seo, et al.
Pageof 1