Enhancing the performance of the neural network model for the EMG regression case using Hadamard product

Author:

Kim Won-Joong,Kim Inwoo,Lee Soo-Hong

Publisher

Springer Science and Business Media LLC

Reference19 articles.

1. H. Cai et al., Enable deep learning on mobile devices: methods, systems, and applications, arXiv: 2204.11786 (2022).

2. V. V. Williams et al., New bounds for matrix multiplication: from alpha to omega, arXiv: 2307.07970 (2023).

3. J. Lee et al., On-device neural net inference with mobile GPUs, arXiv: 1907.01989 (2023).

4. J. Redmon et al., You only look once: Unified, real-time object detection, arXiv: 1506.02640 (2015).

5. D. Simonetti, B. Koopman and M. Sartori, Automated estimation of ankle muscle EMG envelopes and resulting plantardorsi flexion torque from 64 garment-embedded electrodes uniformly distributed around the human leg, Journal of Electromyography and Kinesiology, 67 (2022) 102701.

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