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#machine learning Preprint Oct 2026

LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing

Electromyography (EMG) signals vary substantially across individuals, body regions, recording sessions, and sensing hardware, limiting the generalization of models for assistive devices and human-computer interaction. Existing time-series foundation models are also computationally expensive for real-time wearable deplo...

Tian-Hao Wu, Xu-Ying Wu, Amir Radmehr et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation

SeRV (Semantic-Aligned Residual Vector Quantization), a semantic-aligned RVQ tokenizer for ASL generation, achieves state-of-the-art pose accuracy on both How2Sign and YouTube-ASL datasets, while producing semantically consistent 3D ASL motion directly from text.

Hong-Yu Wu, Xu-Ying Wu, Tian-Hao Wu et al. · 0 citations

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