Abstract
In order to evaluate workers’ progress in the factory, we developed a model of operation estimation method based on tracking records captured by Kinect. In this paper, we use Kinect sensors to capture the human motion process (such as broadcast gymnastics), extract the skeleton frame sequence from training data as a template, then improve the DTW algorithm to match the skeleton frame in the test data and in the training data, to estimate the percentage of the action’s completion. The improved DTW algorithm achieves state-of-the-art performances on our dataset, higher than 90%.
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Acknowledgment
This project was completed with the Mitsubishi Heavy Industries cooperation, and was funded by the Mitsubishi Heavy Industries research project No.14-36.
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Wang, B. et al. (2017). Development of Operation Estimation Method Based on Tracking Records Captured by Kinect. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_15
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