Fig. 1: GenENet for sign language and gait prediction. | Nature Sensors

Fig. 1: GenENet for sign language and gait prediction.

From: A simplified wearable device powered by a generative EMG network for hand-gesture recognition and gait prediction

Fig. 1

a, Representation learning via GenENet using a 32-channel stretchable device, with random masking of input signals to reconstruct the original data. b, Use of a smaller 6-channel device, where the pre-trained network predicts muscle activity in unseen areas. Reference (REF) and ground (GND) electrodes are placed on the right side. c, Post-training network, enabling the transfer of the pre-trained model to different applications and users. d–f, Images showing each stage corresponding to a–c, respectively. The wireless module consists of flexible printed circuit board (FPCB).

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