Th.2.1.2
Real-Time Finger Joint Angle Estimation from Wrist-Worn Surface Electromyography
Jorge Fritis, Esteban Pino, Universidad de Concepción
Session:
Th.2.1: EMG Signal Processing and Human–Machine Interfaces II Oral
Track:
Biomedical Signal Processing
Location:
Room 801A
Presentation Time:
Thursday, 30 July, 10:30 - 10:45
Session Co-Chairs:
Hamid GholamHosseini and Kuan-Chen Wang
Presentation
Discussion
Resources
No resources available.
Session Th.2.1
Th.2.1.1: TOWARD ROBUST PROSTHESIS CONTROL: EFFECTS OF FEATURE SELECTION AND TEMPORAL MODELING IN HIGH-DOF EMG CONTINUOUS DECODING
Hend ElMohandes, Heriot-watt University , The British University in Dubai; Neamat ElGayar, New Giza University; Adrian Turcanu, Nick Taylor, Heriot-watt University
Th.2.1.2: Real-Time Finger Joint Angle Estimation from Wrist-Worn Surface Electromyography
Jorge Fritis, Esteban Pino, Universidad de Concepción
Th.2.1.3: HYBRID GENERATIVE-DISCRIMINATIVE LEARNING OF SCALE MIXTURE MODELS FOR EMG CLASSIFICATION
Shunya Fukuda, Toshio Tsuji, Akira Furui, Hiroshima University
Th.2.1.4: PSEUDO REAL-TIME MUSCLE FATIGUE DETECTION FROM SURFACE EMG USING DEEP WAVELET SCATTERING
Jiarui Ou, Qilin Liu, Qiong Guo, West China Hospital of Sichuan University; Jinfeng Yang, Yuanpeng Liao, Chengdu Sport University; Jiayuan He, Jin Huang, Ning Jiang, West China Hospital of Sichuan University
Th.2.1.5: SSEMG-NET: A SPECTROGRAM-BASED MAMBA NETWORK FOR SURFACE ELECTROMYOGRAPHY DENOISING
Cheng-Han Shih, Kuan-Chen Wang, National Taiwan University; Kai-Chun Liu, Stevens Institute of Technology; Ping-Cheng Yeh, National Taiwan University; Yu Tsao, Academia Sinica
Th.2.1.6: MOTORUNET: SIM-TO-REAL LEARNING FOR IDENTIFYING MOTOR UNIT ACTION POTENTIALS FROM LOW-DENSITY SURFACE EMG RECORDINGS
William Raftery, Noura Ezaz-Nikpay, Imperial College London; Kostiantyn Maksymenko, Neurodec; Agnese Grison, Pranav Mamidanna, Dario Farina, Imperial College London
Resources
No resources available.