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Two Stage Continuous Gesture Recognition Based on Deep Learning
2021
Electronics
The paper proposes an effective continuous gesture recognition method, which includes two modules: segmentation and recognition. In the segmentation module, the video frames are divided into gesture frames and transitional frames by using the information of hand motion and appearance, and continuous gesture sequences are segmented into isolated sequences. In the recognition module, our method exploits the spatiotemporal information embedded in RGB and depth sequences. For the RGB modality, our
doi:10.3390/electronics10050534
fatcat:nwnhgmfyfjgn5an2mfneu5xc4a