Enhanced Lightweight CNN Using Joint Classification With Averaging Probability for sEMG-Based Subject-Independent Hand Gesture Recognition
Benjakarn Leelakittisin(Vidyasirimedhi Institute of Science and Technology), Thapanun Sudhawiyangkul(Vidyasirimedhi Institute of Science and Technology), Soravitt Sangnark(Vidyasirimedhi Institute of Science and Technology), Theerawit Wilaiprasitporn(Vidyasirimedhi Institute of Science and Technology), Manatsanan Trakulruangroj(Thammasat University)
Cited by 9
Related Papers
Consumer Grade EEG Measuring Sensors as Research Tools: A Review
|IEEE Sensors Journal|2019|268
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
|IEEE Transactions on Biomedical Engineering|2021|175
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection
|IEEE Transactions on Industrial Informatics|2021|159
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting
|IEEE Sensors Journal|2020|117