Wearable Photonic Artificial Throat for Silent Communication and Speech Recognition

可穿戴计算机 喉部 材料科学 可穿戴技术 光子学 语音识别 计算机科学 光电子学 生物 解剖 嵌入式系统
作者
Wenbo Li,Rui Min,Di Zheng,Yukun Long,Kun Xiao,Zhuo Wang,Mo Guo,Qingming Chen,Lanfang Liu,Xiaoli Li,Zhaohui Li
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:17 (7): 11126-11143 被引量:9
标识
DOI:10.1021/acsami.4c21754
摘要

Advocating for the voices of the disabled, particularly through wearable artificial throats, has garnered significant attention recently. Such devices necessitate sensors with stretchability, high sensitivity, and excellent skin conformability. In this study, an intelligent photonic artificial throat has been developed. It features a sandwich-structured optical fiber sensor encapsulated in Dragon Skin 20, which has an elastic modulus similar to human tissue and is integrated with sensitivity-enhancing rings and fabric for enhanced wearability. With ultrafast response (response time: 10 ms, recovery time: 32 ms) and high sensitivity (1.92 μW/mN), it detects throat area vibrations and muscle contractions, accurately identifying tones in Mandarin, vowels, words, and sentences in English, achieving accurate bilingual detection. It also distinguishes animal sounds (horse neighing and cuckoo's call) and pop songs when mounted on speakers. Furthermore, the artificial throat can accurately detect subtle movements of the head and neck, and by combining nodding actions with the MORSE code, silent communication between individuals has been successfully achieved. Integrated with an advanced artificial intelligence (AI) algorithm, it recognizes tones (97.50%), vowel letters (97.00%), common words (98.00%) and sentences (96.52%), opening prospects for biomedical applications, language education, speech recognition, motion monitoring, and more.
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