All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics

HIGHLIGHTS

  • who: Youhua Wang from the Published in partnership with Nanjing Tech University have published the research: All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics, in the Journal: (JOURNAL)

SUMMARY

    Silent speech can offer people with aphasia an alternative communication way. Although the silent speech recognition of sEMG has made great progress in recent years, most of these works use non-flexible electrodes and sampling equipment with a high sampling rate and precision, they are only verified in the laboratory environment, and their long-term performance is not evaluated . . .

     

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