A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data.
Claudio Gallicchio, Alessio Micheli · CINECA IRIS Institutial research information system (University of Pisa) · 2016
This paper describes a novel approach for human gesture recognition from motion data captured by a Kinect camera. The proposed method is based on encoding the temporal history of input data using bidirectional Echo State Networks, whereas the output is computed by means of a multi-layer perceptron with softmax. Results achieved at the time-series classification challenge organized within the 2016 ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data show the potentiality of the approach.