EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices-Reference-Cited by-同舟云学术

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EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices

Published:2023-04-24 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)
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Author:

Lu Jimmy¹,Liang Philip²,Rhim Jin Chul²,Zhang Xiaorong²,Qin Zhuwei²

Affiliation:

1. Lowell High School,San Francisco,CA,94132

2. School of Engineering, San Francisco State University,San Francisco,CA,94132

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10123380/10123710/10123741.pdf?arnumber=10123741

Reference17 articles.

1. How does batch normalization help optimization?;santurkar;Advances in neural information processing systems,2018

2. Evaluating and exploring the MYO ARMBAND

3. A white paper on neural network quantization;nagel;ArXiv Preprint,2021

4. Electromyography data for non-invasive naturally-controlled robotic hand prostheses

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1. Advancing clinical understanding of surface electromyography biofeedback: bridging research, teaching, and commercial applications;Expert Review of Medical Devices;2024-07-12

2. Visual-Kinematics Graph Learning for Procedure-Agnostic Instrument Tip Segmentation in Robotic Surgeries;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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