In most of our daily lives, we observe repetitive (periodic) movements of our surrounding objects. In physiotherapy, for example, during the physical exercises, the analysis of the periodicity in the patient’s performance would help to evaluate and monitor the his recovery process. Cyber Physical Systems for smart environments have great potential in providing context-aware, automated support in everyday life of people that need adaptive occupational therapy. We present a method and program-based algorithm for the detection and analysis of periodic activities of subjects performing physical exercises from video sequences. The algorithm detects the beginning of a series of exercises of a given type, measures the duration of each of them, detects the end of the sequence and measures the number of repetitions. Experimental results with publicly available video dataset will prove the applicability of the proposed method for detection of repetitive actions.

• Nikolay Neshov
• Agata Manolova
• Krasimir Tonchev
• Ognian Boumbarov

10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), vol. 2, pp. 685-690. IEEE, 2019.

https://ieeexplore.ieee.org/abstract/document/8924300