Communication by gestures in personal emergency response system

The Present systems on emergency response are primitive and not accurate in expressing the actual need of the person in risk. In a proper healthcare monitoring every communication between the patient and the care takers are critical and such response involves many implicit meanings. Even a slight misapprehension 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 and swifter methodology simpler than the conventional sign language interpretations for such implicit communication. The exploratory 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 as well as faster recognition.