Hafedh Ben Hassen, Nadia Ayari, A. Maalel, B. Hamdi
{"title":"An Electric Wheelchair Monitoring System based on the Internet of Things and Fog computing","authors":"Hafedh Ben Hassen, Nadia Ayari, A. Maalel, B. Hamdi","doi":"10.1109/scc53769.2021.9768341","DOIUrl":null,"url":null,"abstract":"Disabled persons and the elderly face many problems in their daily lives. Mobility is one of the most common of these problems. Electric wheelchairs are among the most frequently used devices to help them navigate. However, safety remains one of the biggest problems for these wheelchairs. This paper proposes an electric wheelchair monitoring system based on the Internet of Things (IoT) and Fog computing to provide safety for the users. This system was developed using the NodeMCU V3 IoT platform and an Android app that plays the role of Fog server, which allows users to monitor the ambient climate factors and the battery level, communicate with healthcare providers, and receive notifications and recommendations if there is a risk. Through evaluation, most potential users of this system consider it easy to learn and use, suggesting that our proposal can improve the safety of wheelchairs users.","PeriodicalId":365845,"journal":{"name":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scc53769.2021.9768341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Disabled persons and the elderly face many problems in their daily lives. Mobility is one of the most common of these problems. Electric wheelchairs are among the most frequently used devices to help them navigate. However, safety remains one of the biggest problems for these wheelchairs. This paper proposes an electric wheelchair monitoring system based on the Internet of Things (IoT) and Fog computing to provide safety for the users. This system was developed using the NodeMCU V3 IoT platform and an Android app that plays the role of Fog server, which allows users to monitor the ambient climate factors and the battery level, communicate with healthcare providers, and receive notifications and recommendations if there is a risk. Through evaluation, most potential users of this system consider it easy to learn and use, suggesting that our proposal can improve the safety of wheelchairs users.