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This study aim to recognize gestures that may serve as an indication for an emergency situation. Different gesture that indicates an emergency condition has been observe and studied that will be used as comparison and recognition for recognition. In this study emergency situation are classified into three category namely medical, life threating condition and disaster. The acquisition of gestures was done using the latest camera technology of today which is the MS Kinect sensor. The researchers used the skeletal tracking capability of the sensor to acquire data that will represent the movement or gesture of the person. The recognition of this gesture with respect to an actual medical emergency will be done using Decision tree algorithm.
Tolentino et al. (Fri,) studied this question.