Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency

Autor: Tang, Chenyu, Xu, Muzi, Yi, Wentian, Zhang, Zibo, Occhipinti, Edoardo, Dong, Chaoqun, Ravenscroft, Dafydd, Jung, Sung-Min, Lee, Sanghyo, Gao, Shuo, Kim, Jong Min, Occhipinti, Luigi G.

Publikováno v: npj Flexible Electronics (2024)

Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We developed a biocompatible, durable textile choker with an embedded gr

Externí odkaz: http://arxiv.org/abs/2311.15683

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Machine Learning Methods for Automatic Silent Speech Recognition Using a Wearable Graphene Strain Gauge Sensor.

Autor: Ravenscroft D; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK., Prattis I; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK., Kandukuri T; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK., Samad YA; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK., Mallia G; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK., Occhipinti LG; Department of Electrical Engineering, University of Cambridge, Cambridge CB3 0FA, UK.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 31; Vol. 22 (1). Date of Electronic Publication: 2021 Dec 31.