Abstract
Mobile real-time monitoring system which is based on the wireless network meets the requirements of users who want to monitor and manage the home in a mobile scene or an emergency scene. This chapter designs and implements a real-time monitoring system based on mobile terminal. At the same time, human action recognition is applied to the system. A method combining the 3D skeleton shape histogram with dynamic time warping (DTW) is proposed to improve the accuracy of recognition.
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Acknowledgements
This work was supported by the National Natural Science Foundation No. 61202208 of China and the Fundamental Research Funds for the Central Universities No. 201413021.
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Chai, L., Wei, Z., Li, Z. (2015). Mobile Real-Time Monitoring System Based On Human Action Recognition. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_71
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DOI: https://doi.org/10.1007/978-3-319-11104-9_71
Publisher Name: Springer, Cham
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