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A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition - Nature Electronics
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With the help of machine learning, electronic devices—including electronic gloves and electronic skins—can track the movement of human hands and perform tasks such as object and gesture recognition. However, such devices remain bulky and lack an ability to adapt to the curvature of the body. Furthermore, existing models for signal processing require large amounts of labelled data for recognizing individual tasks for every user.
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