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Application of infrared scanning of the neck muscles to control a cursor in Human-Computer Interface
Conference paper

Application of infrared scanning of the neck muscles to control a cursor in Human-Computer Interface

Seyede Mahya Safavi, Subramanian Meenakshi Sundaram, Ali Heydari Gorji, Neha Satishkumar Udaiwal and Pai H. Chou
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp.787-790
09/2017
PMID: 29059990

Abstract

Signal Processing Biomedical Engineering Computer Vision and Pattern Recognition Health Informatics
The feasibility of using infrared (IR) spectroscopy of the neck muscles in controlling a cursor in a 2-dimensional screen was assessed. The proposed technique utilizes two IR photoplethysmography sensors (λ = 940nm) to monitor the morphological changes of the Scalene and Sternocleidomastoid muscles. Since the reflection of the light has valuable information about the type of contraction, the direction of the movement (right/left, up/down) can be simply derived using two sensors. A MATLAB platform was developed in which a cursor moves using the recorded signal. Three scenarios of high/low sensitivity and joystick mode were tested. The results from 4 different healthy subjects shows the feasibility of control in terms of throughput, overshoot, and path efficiency.

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