Jason K. Liao;Chun Yin Lai;Chetwyn Che Hin Chan;Steve W. Y. Mung
{"title":"设计和实现用于睡眠健康监测的物联网声控枕头","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":"{\"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}","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}
Design and Implementation of an IoT Acoustic-Controlled Pillow for Sleep Health Monitoring
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.