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A skin sensor that can rapidly recognize hand-based tasks with limited training

A skin-like sensory system, consisting of a substrate-less nanomesh strain sensor and an unsupervised meta-learning framework, enables the rapid recognition of various hand movements with minimal training and can work for any user. The device is able to complete various tasks, including virtual keyboard typing and object recognition.

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Fig. 1: A skin sensor combined with a meta-learning framework.

References

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This is a summary of: Kim, K. K. et al. A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition. Nat. Electron. https://doi.org/10.1038/s41928-022-00888-7 (2022).

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A skin sensor that can rapidly recognize hand-based tasks with limited training. Nat Electron 6, 8–9 (2023). https://doi.org/10.1038/s41928-022-00889-6

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  • DOI: https://doi.org/10.1038/s41928-022-00889-6

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