Deep Learning-Assisted Triboelectric Sensor for Complex Gesture Recognition.

ABSTRACT: With the rapid development of the Internet of Things (IoT) and 5G technology, there has been a considerable increase in demand for self-powered and flexible sensors. However, existing solutions frequently prove inadequate regarding flexibility, energy efficiency, and the accuracy with which gestures can be recognized, particularly in noncontact operation scenarios. As a result, there is a need for innovative developments in sensor technology. This study proposes an artificial intelligence-based gesture recognition system comprising a triboelectric sensor ring, an Arduino signal processing module, and a deep learning module. Our approach enables the direct reading of triboelectric signals by Arduino through integrated circuits, thereby maintaining the output voltage of triboelectric signals

SUBMITTER: Zhang P 

PROVIDER: S-EPMC11904663 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature