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EMG Gesture Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Giguelingueling/MyoArmbandDataset

공식 코드

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

https://github.com/UlysseCoteAllard/LongTermEMG

공식 코드

A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition

https://github.com/a-moin/flexemg

공식 코드

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

https://github.com/josephsdavid/semg_repro

공식 코드

sEMG Gesture Recognition with a Simple Model of Attention

https://github.com/ketyi/2SRNN

공식 코드

Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks

https://github.com/nikhil-garg/EMG_exp

공식 코드

Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition

https://github.com/UlysseCoteAllard/MyoArmbandDataset

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

https://github.com/josephsdavid/attentionsemg

sEMG Gesture Recognition with a Simple Model of Attention

https://github.com/rajkundu/myoband

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

https://github.com/steve30572/myo_armband

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.