Research Article
Research on Dynamic Sign Language Recognition Based on Key Frame Weighted of DTW
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@INPROCEEDINGS{10.1007/978-3-030-82565-2_2, author={ShengWei Zhang and ZhaoSong Zhu and RongXin Zhu}, title={Research on Dynamic Sign Language Recognition Based on Key Frame Weighted of DTW}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Sign language recognition Key frames Dynamic time warping}, doi={10.1007/978-3-030-82565-2_2} }- ShengWei Zhang
ZhaoSong Zhu
RongXin Zhu
Year: 2021
Research on Dynamic Sign Language Recognition Based on Key Frame Weighted of DTW
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_2
Abstract
Dynamic sign language can be described by its trajectory and key hand types. Most of the commonly used sign language can be recognized by trajectory curve matching. Therefore, In this paper, a new dynamic sign language recognition method is proposed, which uses trajectory and key hand type to extract features, adopts a key frame weighted DTW (dynamic time warping) algorithm to implement hierarchical matching strategy, and gradually matches sign language gestures from two levels of trajectory and key hand type, so as to effectively improve the accuracy and efficiency of sign language recognition.
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