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This paper investigates the possibility of recognising individual persons from their walking gait using three-dimensional ‘skeleton’ data from an inexpensive consumer-level sensor, the Microsoft ‘Kinect’. In an experimental pilot study it is shown that the K-means algorithm — as a candidate unsupervised clustering algorithm — is able to cluster gait samples from four persons with a nett accuracy of...
Gesture recognition is an important aspect of interpersonal social interaction. Developing a similar capacity in a robot will improve human-robot interaction. Various unsupervised clustering methods applied to clustering a set of dynamic human arm gestures are compared. Unsupervised clustering is important in gesture recognition as it imposes no a priori bound on the set of gestures. Results are compared...
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