Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces
Accurate and low-latency gesture recognition is critical for real-time assistive technologies that enable individuals with motor impairments to interact more intuitively with their environment. However, current systems often suffer from poor signal fidelity, limited adaptability, and high computatio...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11091288/ |
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