Sensor Evaluation for Soft Robotic Hand Rehabilitation Devices
Abstract
Developing a compact sensing system is important for controlling the joint coordination of wearable soft robotic hand rehabilitation devices. Flexible skin attachable sensors allow compact measurement of the finger and distal thumb joint (interphalangeal joint and metacarpophalangeal joint) angles. For accurate and reliable measurement of the joint angles, appropriate flexible sensors should be selected, which give stable measurements and have sensitive response with respect to the joint angle. In this study, the performance indices of two types of flexible stretchable sensors (carbon nano-Tube pattern sensor and silver-nano sensor) and two type of commercial bending sensors (Bend Sensor® and Flex Sensor®) are compared. A plastic test bed was designed to collect the sensor signal respect to the bending angle. The sensitivity, relaxation, repeatability and hysteresis of each sensor were investigated and compared, and eventually a suitable sensor for soft robotic hand rehabilitation device is proposed.
Recommended Citation
D. Kim et al., "Sensor Evaluation for Soft Robotic Hand Rehabilitation Devices," Proceedings of the 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (2016, Singapore), pp. 1220 - 1223, IEEE Computer Society, Jun 2016.
The definitive version is available at https://doi.org/10.1109/BIOROB.2016.7523797
Meeting Name
6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2016 (2016: Jun. 26-29, Singapore)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
flexible sensor; hand posture measurement; sensor evaluation; soft robotic hand rehabilitation device
International Standard Book Number (ISBN)
978-150903287-7
International Standard Serial Number (ISSN)
2155-1782
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 IEEE Computer Society, All rights reserved.
Publication Date
01 Jun 2016