Jason K. Liao;Chun Yin Lai;Chetwyn Che Hin Chan;Steve W. Y. Mung
{"title":"Design and Implementation of an IoT Acoustic-Controlled Pillow for Sleep Health Monitoring","authors":"Jason K. Liao;Chun Yin Lai;Chetwyn Che Hin Chan;Steve W. Y. Mung","doi":"10.1109/LSENS.2024.3439259","DOIUrl":null,"url":null,"abstract":"This letter introduces an Internet of Things (IoT) acoustic-controlled pillow to reduce environmental noise, monitor snoring, and mitigate insomnia symptoms for enhancing sleep quality. The pillow offers a comprehensive sleep solution by integrating digital hardware active noise control (ANC) technology with an IoT snore tracker. The acoustic control component employs cost-effective digital circuits tailored for effective noise cancellation and music playback functionality, unlike systems using digital signal processors or field-programmable gate arrays. The IoT snore tracker component utilizes mel-frequency cepstral coefficients for precise snore detection, further supported by the capability to upload audio data for further analysis. This dual-functional design not only addresses environmental noise and mitigates insomnia symptoms effectively but also actively monitors snore-related disturbances. Comparative analysis underscores its affordability and practicality, positioning it as a favorable choice for consumers in noisy environments to aid relaxation and sleep induction.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10623794/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This letter introduces an Internet of Things (IoT) acoustic-controlled pillow to reduce environmental noise, monitor snoring, and mitigate insomnia symptoms for enhancing sleep quality. The pillow offers a comprehensive sleep solution by integrating digital hardware active noise control (ANC) technology with an IoT snore tracker. The acoustic control component employs cost-effective digital circuits tailored for effective noise cancellation and music playback functionality, unlike systems using digital signal processors or field-programmable gate arrays. The IoT snore tracker component utilizes mel-frequency cepstral coefficients for precise snore detection, further supported by the capability to upload audio data for further analysis. This dual-functional design not only addresses environmental noise and mitigates insomnia symptoms effectively but also actively monitors snore-related disturbances. Comparative analysis underscores its affordability and practicality, positioning it as a favorable choice for consumers in noisy environments to aid relaxation and sleep induction.