Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction
<|reference_start|>Advancements in Tactile Hand Gesture Recognition for Enhanced Human-Machine Interaction: Motivated by the growing interest in enhancing intuitive physical Human-Machine Interaction (HRI/HVI), this study aims to propose a robust tactile hand gesture recognition system. We performed a comprehensive evaluation of different hand gesture recognition approaches for a large area tactile sensing interface (touch interface) constructed from conductive textiles. Our evaluation encompassed traditional feature engineering methods, as well as contemporary deep learning techniques capable of real-time interpretation of a range of hand gestures, accommodating variations in hand sizes, movement velocities, applied pressure levels, and interaction points. Our extensive analysis of the various methods makes a significant contribution to tactile-based gesture recognition in the field of human-machine interaction.<|reference_end|>
@article{fumelli2024advancements,
    title={Advancements in Tactile Hand Gesture Recognition for Enhanced
  Human-Machine Interaction},
    author={Chiara Fumelli, Anirvan Dutta, and Mohsen Kaboli},
    journal={arXiv preprint arXiv:2405.17038},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.17038},
    primaryClass={cs.HC cs.AI}
}