{"title":"老年人跌倒检测系统","authors":"Y. Angal, A. Jagtap","doi":"10.1109/ICAECCT.2016.7942595","DOIUrl":null,"url":null,"abstract":"Fall is a major health issue among older adults. Fall may cause serious injury to the older adults such as heap fractures and head traumas. A method for detecting falls among older adults is presented which uses the Microsoft Kinect sensor. The system consists of two parts. The first one is to detect fall using Kinect sensor and second part is to generate control signal to send message. To detect fall condition, motion related features are calculated. For this sensor's color and depth output is used. Ground event segmentation is done to detect moving objects from the video stream followed by feature extraction and event classification. After fall detection, help message will send to the registered number so that immediate medical assistance will get. The system works on real time data.","PeriodicalId":6629,"journal":{"name":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","volume":"32 1","pages":"262-266"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Fall detection system for older adults\",\"authors\":\"Y. Angal, A. Jagtap\",\"doi\":\"10.1109/ICAECCT.2016.7942595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fall is a major health issue among older adults. Fall may cause serious injury to the older adults such as heap fractures and head traumas. A method for detecting falls among older adults is presented which uses the Microsoft Kinect sensor. The system consists of two parts. The first one is to detect fall using Kinect sensor and second part is to generate control signal to send message. To detect fall condition, motion related features are calculated. For this sensor's color and depth output is used. Ground event segmentation is done to detect moving objects from the video stream followed by feature extraction and event classification. After fall detection, help message will send to the registered number so that immediate medical assistance will get. The system works on real time data.\",\"PeriodicalId\":6629,\"journal\":{\"name\":\"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)\",\"volume\":\"32 1\",\"pages\":\"262-266\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAECCT.2016.7942595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECCT.2016.7942595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fall is a major health issue among older adults. Fall may cause serious injury to the older adults such as heap fractures and head traumas. A method for detecting falls among older adults is presented which uses the Microsoft Kinect sensor. The system consists of two parts. The first one is to detect fall using Kinect sensor and second part is to generate control signal to send message. To detect fall condition, motion related features are calculated. For this sensor's color and depth output is used. Ground event segmentation is done to detect moving objects from the video stream followed by feature extraction and event classification. After fall detection, help message will send to the registered number so that immediate medical assistance will get. The system works on real time data.