{"title":"Multi-Functional Hybridized Units for Self- Sustainable IoT Sensing and Ultra-Low Frequency Energy Harvesting","authors":"Xinge Guo, Fei Wang, Huicong Liu, Chengkuo Lee","doi":"10.1109/PowerMEMS54003.2021.9658392","DOIUrl":null,"url":null,"abstract":"In this manuscript, we reported two multi-functional units aiming at providing a promising monitoring platform applied in walking sticks for elderly and motion impaired people. One rotational unit equipped with an electromagnetic generator (EMG) and linear-to-rotary structure is proposed to harvest the ultra-low frequency linear motion of a walking stick and serve as the sustainable power supply for an Internet of Things (IoT) sensing system. And one hybridized unit further integrated with two self-powered triboelectric sensors to extract the motion features of the walking stick is designed to achieve multi-functional monitoring of users with deep learning technology. Promisingly, the walking stick equipped with proposed units shows a great potential of being an intelligent aid for motion-impaired users to help them live a life with adequate autonomy and safety.","PeriodicalId":165158,"journal":{"name":"2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PowerMEMS54003.2021.9658392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this manuscript, we reported two multi-functional units aiming at providing a promising monitoring platform applied in walking sticks for elderly and motion impaired people. One rotational unit equipped with an electromagnetic generator (EMG) and linear-to-rotary structure is proposed to harvest the ultra-low frequency linear motion of a walking stick and serve as the sustainable power supply for an Internet of Things (IoT) sensing system. And one hybridized unit further integrated with two self-powered triboelectric sensors to extract the motion features of the walking stick is designed to achieve multi-functional monitoring of users with deep learning technology. Promisingly, the walking stick equipped with proposed units shows a great potential of being an intelligent aid for motion-impaired users to help them live a life with adequate autonomy and safety.