Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera for Robot Guidance
<|reference_start|>Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera for Robot Guidance: Dynamic gestures enable the transfer of directive information to a robot. Moreover, the ability of a robot to recognize them from a long distance makes communication more effective and practical. However, current state-of-the-art models for dynamic gestures exhibit limitations in recognition distance, typically achieving effective performance only within a few meters. In this work, we propose a model for recognizing dynamic gestures from a long distance of up to 20 meters. The model integrates the SlowFast and Transformer architectures (SFT) to effectively process and classify complex gesture sequences captured in video frames. SFT demonstrates superior performance over existing models.<|reference_end|>
@article{beeri2024recognition,
    title={Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera
  for Robot Guidance},
    author={Eran Bamani Beeri, Eden Nissinman and Avishai Sintov},
    journal={arXiv preprint arXiv:2406.12424},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.12424},
    primaryClass={cs.RO cs.CV}
}