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Upper Limb Motion Detection Including Fingers Using Flex Sensors and Inertial Sensors  

Kim, Yeon-Jun (Department of Electronic and Electrical Engineering, Hankyong National University)
Yoo, Jae-Ha (Department of Electronic and Electrical Engineering, Hankyong National University)
Kim, Dong-Yon (Department of Electronic and Electrical Engineering, Hankyong National University)
Kim, Soo-Chan (Department of Electronic and Electrical Engineering, Hankyong National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.21, no.3, 2020 , pp. 101-106 More about this Journal
Abstract
The utilization of virtual reality is increasing not only in games but also in medical care such as rehabilitation. Due to the convenience, the motion of the upper limb is detected using a non-contact method using video or a handheld type mouse, etc. In this paper, we implemented a glove which can measure finger movements and upper limb movements by using flex sensors whose resistance value changes according to the degree of folding and inertial sensors which can obtain direction information in space. We showed the upper arm movements including finger movements with signals obtained from the implemented glove on the open software platform, Processing. The sensitivity of each finger movement was 0.5deg, and the sensitivity of the upper limb motion was 0.6deg.
Keywords
Finger movements; Upper arm movements; Wrist movements; Motion detection; Virtual reality;
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