通过基于机器学习的感官转换实现语音识别和摄入监测的柔性喉贴（Adv. Mater. Technol.）

IF 6.4 3区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Materials Technologies Pub Date : 2024-05-22 DOI:10.1002/admt.202470047

Wonki Hong

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引用次数: 0

摘要

柔性喉部贴片在第 2400059 号文章中，Wonki Hong 提出了一种感官转换方法，用于基于机器学习的饮食分析和语音识别。该方法基于一种可将触觉转化为听觉和味觉的柔性贴片，通过分析喉部肌肉的振动和运动来理解发音和蠕动，从而确定所吃食物的类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Flexible Throat Patch for Phonetic Recognition and Ingestion Monitoring via Sensory Transition based on Machine Learning (Adv. Mater. Technol. 10/2024)

Flexible Throat Patch

In article number 2400059, Wonki Hong proposes a sensory transformation approach for machine learning-based dietary analysis and voice recognition. Based on a flexible patch that converts the sense of tactile into hearing and taste, it analyzes the vibrations and movements of the laryngeal muscles to understand pronunciation and peristalsis to determine the type of food consumed.

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来源期刊

Advanced Materials Technologies Materials Science-General Materials Science

CiteScore

10.20

自引率

4.40%

发文量

566

期刊介绍： Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.