Gesture and Hand Activity Based Emergency Response Communication by Patients, Elderly and Disabled While Using Data Gloves

Monitoring patients on crucial and emergency conditions on clinical basis involve mandatory periodical but lively communication between patient and caretakers. Miscommunication leads to adverse effects and failure in life saving. A simple wearable system can interpret the implicit communication of the users to the caretakers or to an automated life support device. Simple and obvious hand movements or activity may be used for the above purpose. But the challenge is in interpretation of clear and well distinct input classes extracted from the wearable. The proposed system suggests well distinct classes of gestures that are suitable for such system developments. It also gives a clear insight about the combinations that are not very suitable for such implicit communication. The experimental results show that the realization of suggested hand movement activity sets over the coupling of other movements for classes´ is always have distinct thresholds which are reliable for error free communication.