Emergency Gesture Communication by Patients, Elderly and Differently Abled with Care Takers Using Wearable Data Gloves

Kalvina Rajendran, Andrews Samraj, Maheswari Rajavel

Department of Information Technology, Mahendra Engineering College, Namakkal, India.
School of Computing Science and Engineering, Vellore Institute of Technology University, Vellore, India.

DOI: 10.4236/jsip.2013.41001                

Abstract

The Healthcare monitoring on a clinical base involves many implicit communication between the patient and the care takers. Any misinterpretation leads to adverse effects. A simple wearable system can precisely interpret the implicit communication to the care takers or to an automated support device. Simple and obvious hand movements can be used for the above purpose. The proposed system suggests a novel methodology simpler than the existing sign language interpretations for such implicit communication. The experimental results show a well-distinguished realization of different hand movement activities using a wearable sensor medium and the interpretation results always show significant thresholds.

Keywords

Wearable Computing; Bio-Signal Processing; Robotic Interface; Affective-Gesture Computing

Conflicts of Interest

The authors declare no conflicts of interest.

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