Data Acquisition Glove for Hand Movement Impairment Rehabilitation

Authors

DOI:

https://doi.org/10.3991/ijoe.v12i04.5141

Keywords:

Embedded electronics, Hand rehabilitation, Instrumented glove, Wearable monitoring device

Abstract


The present paper describes a data acquisition wearable device for hand rehabilitation. The main goal of this glove is to be used by patients with hand movement impairment. It has position sensors to measure the bending of synovial joints and sensors to measure the fingertip contact pressure. There is a coin motor and a LED placed on each finger to produce a vibratory and visual stimulus. The glove also tracks the hand rotation and translation using a MPU (Motion Processing Unit) that contains an accelerometer and a gyroscope. A graphical application for an HMI module was developed in order to create rehabilitation game like exercises where sensor data can be logged for further analysis by a therapist. The wearable device electronic hardware comprises a Glove module and an HMI module that communicate through SPI protocol (Serial Peripheral Interface). The wearable device supports USB connection to send data to a computer or to be used as a peripheral device in virtual or augmented reality applications.

Author Biography

Paulo Abreu, UISPA-LAETA/INEGI research center and Faculty of Engineering of University of Porto, Porto, Portugal

P. Abreu has a Mechanical Engineering degree at Faculty of Engineering of University of Porto (FEUP) and, is with it since 1985. He has MSc from Cranfield Institute of Technology, UK, 1988 and, a PhD by the University of Bristol, UK, 1995. He is Assistant Professor, in the area of Automation, Instrumentation and Control, at the Mechanical Engineering Department, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal. (e-mail: pabreu@fe.up.pt).

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Published

2016-04-28

How to Cite

Tavares, R., Abreu, P., & Quintas, M. R. (2016). Data Acquisition Glove for Hand Movement Impairment Rehabilitation. International Journal of Online and Biomedical Engineering (iJOE), 12(04), pp. 52–54. https://doi.org/10.3991/ijoe.v12i04.5141

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Section

Papers