This paper proposes a low-cost, energy-efficient exoskeleton system using bidirectional triboelectric sensors to monitor human upper limb movements. The system tracks multiple degrees of freedom (DOFs) and uses the collected data to control virtual characters and robotic arms in real-time. Kinetic analysis of the sensor data provides additional physical parameters, enhancing the system's functionality. This approach offers a cost-effective and advanced human-machine interface for various applications, including robotic automation, healthcare, and training.
Publisher
Nature Communications
Published On
May 11, 2021
Authors
Minglu Zhu, Zhongda Sun, Tao Chen, Chengkuo Lee
Tags
exoskeleton
triboelectric sensors
upper limb movements
robotic arms
real-time control
human-machine interface
kinetic analysis
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