Abstract
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.
Highlights
Wheelchairs provide a means for independent movement from one place to another, turning the wheels by own hands is a challenge if the person possesses limited movement capability
This paper presents an approach to facilitate mobility for the non-ambulant patients using eye movements and wearable health tracking
The proposed work first detects face from input video, eye portion will be localized, and eye ball is detected and tracked using computer vision techniques
Summary
Wheelchairs provide a means for independent movement from one place to another, turning the wheels by own hands is a challenge if the person possesses limited movement capability. Driving and control of wheelchair by hand poses a great impediment for a physically challenged person with limited physical ability but a real time eye-gaze tracking based control system can go a long way in easing such cases. In such cases, a person can move their eyes which can be used to transfer instructions towards intended direction of movement. Valence cell announced the launch of two new versions of its Benchmark sensor systems – one system for hearables (the new version is smaller to allow for faster time to market) and one for wearables worn on the wrist and arm Both new modules measure continuous heart rate, VO2 and VO2 max, resting heart rate, caloric burn and recovery. Philips announced a partnership with Daimler for the Mercedes Benz Fit & Healthy project to provide drivers with health information while driving
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