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Structured Streaming Skeleton -- A New Feature for Online Human Gesture Recognition
2014
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Online human gesture recognition has a wide range of applications in computer vision, especially in humancomputer interaction applications. The recent introduction of cost-effective depth cameras brings a new trend of research on body-movement gesture recognition. However, there are two major challenges: (i) how to continuously detect gestures from unsegmented streams, and (ii) how to differentiate different styles of the same gesture from other types of gestures. In this article, we solve
doi:10.1145/2648583
fatcat:2libmjmk4racjfr4eldtnvjy6y