WEARABLE REAL TIME HEALTH TRACKERS AND ASSISTED-MOBILITY FOR NON-AMBULANT PATIENTS

Vidya Shree; Sharanabasappa

doi:10.29121/granthaalayah.v5.i4RACSIT.2017.3349

Authors

Vidya Shree G Department of ECE, Don Bosco Institute of Technology, Bangalore,India
Sharanabasappa Department of ECE, Don Bosco Institute of Technology, Bangalore,India

DOI:

https://doi.org/10.29121/granthaalayah.v5.i4RACSIT.2017.3349

Keywords:

Computer Vision, Image Processing Techniques, Hough Transform, Wheelchair Control, Real-Time Application

Abstract [English]

This paper presents an approach to facilitate mobility for the non-ambulant patients using eye movements and wearable health tracking. The patient’s wheelchair movement is controlled using eye ball movements and also some biomedical assistance functionalities are considered to match the current day needs. The proposed work first detects face from input video, then eye portion will be localized, and finally eye ball (pupil) is detected and tracked using computer vision techniques. The direction of movement is assessed and a command is disseminated to the wheelchair control system. The wearable sensors and\or alarms mounted on patients will update current health status indications on to the monitoring panels. The wearable devices have evolved very smartly which are capable enough to take care of the patient health in real time even during assisted mobility.

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