A simple method to detect gestures revealing muscle and joint pain is described in this paper. Kinect Sensor is used for data acquisition. This sensor only processes twenty joint coordinates in three dimensional space for feature extraction. The recognition part is achieved using a neural network optimized by Levenberg-Marquardt learning rule. A high recognition rate of 91.9% is achieved using the proposed method. This is also better than several algorithms previously used for elder person gesture recognition works. © 2013 Springer International Publishing.
CITATION STYLE
Saha, S., Pal, M., Konar, A., & Janarthanan, R. (2013). Neural network based gesture recognition for elderly health care using Kinect sensor. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8298 LNCS, pp. 376–386). https://doi.org/10.1007/978-3-319-03756-1_34
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