Smart Glove for Tremor Detection

DOI

10.2991/978-94-6463-252-1_14How to use a DOI?

Keywords

Parkinson’s disease; Vibration sensor; Accelerometer; Arduino

Abstract

Parkinson’s disease (PD) must be accurately diagnosed in the early stages. In PD, the premotor stage should be closely observed. We designed a smart glove for tremor detection, to detect whether a person is affected by Parkinson’s disease or not. To detect the tremors, an accelerometer and vibration sensor is embedded in a glove. Based on the intensity of the tremor, a graph is plotted in a serial plotter which is easily understandable. The values of the accelerometer are exported to MATLAB for processing, where Power spectral Density (PSD) is applied and the peaks are determined. The peaks of the graph will help us classify the intensity of Tremors. Further, it can be used to monitor tremors also.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - A. Srilatha Reddy
AU  - Shaja Khan
AU  - P. Ravali
AU  - K. Vara Prasad
PY  - 2023
DA  - 2023/11/09
TI  - Smart Glove for Tremor Detection
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 119
EP  - 125
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_14
DO  - 10.2991/978-94-6463-252-1_14
ID  - SrilathaReddy2023
ER  -