EMGBlend: Heterogeneity-Aware Self-Supervised Pretraining for Gesture and Force Decoding
EMGBlend shows how heterogeneous EMG datasets can be combined through explicit mechanism design rather than simple concatenation, and consistently outperforms matched random initialization and waveform reconstruction controls.
Yu-Wei Jia, Cheng Zhong, Jin-Yang Yu et al.
· 0 citations