TY - JOUR
T1 - Toward Sustainable and Accessible Mobility
T2 - A Functional Electrical Stimulation-Based Robotic Bike with a Fatigue-Compensation Algorithm and Mechanism for Cybathlon 2020
AU - Kim, Yeongjin
AU - Lee, Seung Ryeol
AU - Kim, Sungjun
AU - De Sa Rosa, Tuani
AU - Gong, Yujin
AU - Park, Chaneun
AU - Wang, Jae Han
AU - Park, Kiwon
AU - Kim, Jung Yup
AU - Shin, Dongjun
N1 - Publisher Copyright:
© 1994-2011 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - The functional electrical stimulation (FES) bike race at Cybathlon is a competition in which a pilot with a spinal cord injury (SCI) drives a robotic bike with using his/her paralyzed muscles. The intelligent technologies embedded in the robotic bike stimulate the paralyzed leg muscles and allow these muscles to actuate again. This advanced equipment enriches people's lives by expanding their mobility for rehabilitation and leisure. However, due to the energy consumption of human muscles, muscle fatigue should be properly managed to maintain high speeds for long durations. In this article, we propose three methods to manage muscle fatigue: 1) a stimulation-control scheme based on fatigue prediction, 2) a human-vehicle smart interface, and 3) a muscular hypertrophy program. Without a fatigue-compensation algorithm, a pilot traveled only roughly 200 m in 3 min due to muscle fatigue; however, using the proposed methods, the pilot was able to travel 1,200 m in 3 min 53 s, after training for only three months.
AB - The functional electrical stimulation (FES) bike race at Cybathlon is a competition in which a pilot with a spinal cord injury (SCI) drives a robotic bike with using his/her paralyzed muscles. The intelligent technologies embedded in the robotic bike stimulate the paralyzed leg muscles and allow these muscles to actuate again. This advanced equipment enriches people's lives by expanding their mobility for rehabilitation and leisure. However, due to the energy consumption of human muscles, muscle fatigue should be properly managed to maintain high speeds for long durations. In this article, we propose three methods to manage muscle fatigue: 1) a stimulation-control scheme based on fatigue prediction, 2) a human-vehicle smart interface, and 3) a muscular hypertrophy program. Without a fatigue-compensation algorithm, a pilot traveled only roughly 200 m in 3 min due to muscle fatigue; however, using the proposed methods, the pilot was able to travel 1,200 m in 3 min 53 s, after training for only three months.
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U2 - 10.1109/MRA.2021.3111835
DO - 10.1109/MRA.2021.3111835
M3 - Article
AN - SCOPUS:85117815816
SN - 1070-9932
VL - 28
SP - 32
EP - 42
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 4
ER -
