Arkham Zahri Rakhman Kurnianingsihi, Lukito Edi Nugrohoi
{"title":"u-FASt:智能家居环境中无处不在的老年人跌倒检测和警报系统","authors":"Arkham Zahri Rakhman Kurnianingsihi, Lukito Edi Nugrohoi","doi":"10.1109/MICEEI.2014.7067326","DOIUrl":null,"url":null,"abstract":"Elderly people with long-term care and some disabilities are more susceptible to falls. Fall can cause accidental or unintentional injury, even deaths. Fall detection monitoring is needed amongst elderly, particularly for elderly people who like living independently. Physical limitations and disabilities of elderly in doing their daily activities, which susceptible to fall, become the reason why fall detection is required. This paper presents a prototype of ubiquitous fall detection and alert system in smart home environment (u-FASt) using smartphone. This proposed system of u-FASt has three features, namely: (1) Sensing data gathered from accelerometer and gyroscope that embedded in the smartphone; (2) Real time alerting system consists of mobile alarm, SMS notification, and automatic calling; (3) History of falls that consists of time of fall, body position of fall, and location of fall. The result of the experiments showed that we could get 95.33% for accuracy level.","PeriodicalId":285063,"journal":{"name":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"u-FASt: Ubiquitous fall detection and alert system for elderly people in smart home environment\",\"authors\":\"Arkham Zahri Rakhman Kurnianingsihi, Lukito Edi Nugrohoi\",\"doi\":\"10.1109/MICEEI.2014.7067326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Elderly people with long-term care and some disabilities are more susceptible to falls. Fall can cause accidental or unintentional injury, even deaths. Fall detection monitoring is needed amongst elderly, particularly for elderly people who like living independently. Physical limitations and disabilities of elderly in doing their daily activities, which susceptible to fall, become the reason why fall detection is required. This paper presents a prototype of ubiquitous fall detection and alert system in smart home environment (u-FASt) using smartphone. This proposed system of u-FASt has three features, namely: (1) Sensing data gathered from accelerometer and gyroscope that embedded in the smartphone; (2) Real time alerting system consists of mobile alarm, SMS notification, and automatic calling; (3) History of falls that consists of time of fall, body position of fall, and location of fall. The result of the experiments showed that we could get 95.33% for accuracy level.\",\"PeriodicalId\":285063,\"journal\":{\"name\":\"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICEEI.2014.7067326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Makassar International Conference on Electrical Engineering and Informatics (MICEEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICEEI.2014.7067326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
u-FASt: Ubiquitous fall detection and alert system for elderly people in smart home environment
Elderly people with long-term care and some disabilities are more susceptible to falls. Fall can cause accidental or unintentional injury, even deaths. Fall detection monitoring is needed amongst elderly, particularly for elderly people who like living independently. Physical limitations and disabilities of elderly in doing their daily activities, which susceptible to fall, become the reason why fall detection is required. This paper presents a prototype of ubiquitous fall detection and alert system in smart home environment (u-FASt) using smartphone. This proposed system of u-FASt has three features, namely: (1) Sensing data gathered from accelerometer and gyroscope that embedded in the smartphone; (2) Real time alerting system consists of mobile alarm, SMS notification, and automatic calling; (3) History of falls that consists of time of fall, body position of fall, and location of fall. The result of the experiments showed that we could get 95.33% for accuracy level.