AI RESEARCH
Development of ML model for triboelectric nanogenerator based sign language detection system
arXiv CS.AI
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ArXi:2604.06220v1 Announce Type: cross Sign language recognition (SLR) is vital for bridging communication gaps between deaf and hearing communities. Vision-based approaches suffer from occlusion, computational costs, and physical constraints. This work presents a comparison of machine learning (ML) and deep learning models for a custom triboelectric nanogenerator (TENG)-based sensor glove.