{"title":"基于运动学的老年人运动监测与跌倒检测平台","authors":"J. Barabas, Tadeás Bednár, Miroslav Vychlopen","doi":"10.23919/MEASUREMENT47340.2019.8780004","DOIUrl":null,"url":null,"abstract":"The presented article details our platform for movement monitoring and fall-detection of persons based on data acquired from a Microsoft Kinect v2 sensor. The proposed platform is programmed in the C# programming language for more efficient real-time analysis of the obtained spatial data and future modularity - allowing the integration of other data sources (e.g., thermal sensors, accelerometer data or electrocardiogram recordings) to create a sophisticated monitoring platform. The primary intended use of the platform is to monitor elderly people living alone and, in case of fall detection, transmit relevant information to relatives or medical staff and/or perform specific actions (e.g., turn off kitchen appliances).","PeriodicalId":129350,"journal":{"name":"2019 12th International Conference on Measurement","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Kinect-Based Platform for Movement Monitoring and Fall-Detection of Elderly People\",\"authors\":\"J. Barabas, Tadeás Bednár, Miroslav Vychlopen\",\"doi\":\"10.23919/MEASUREMENT47340.2019.8780004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The presented article details our platform for movement monitoring and fall-detection of persons based on data acquired from a Microsoft Kinect v2 sensor. The proposed platform is programmed in the C# programming language for more efficient real-time analysis of the obtained spatial data and future modularity - allowing the integration of other data sources (e.g., thermal sensors, accelerometer data or electrocardiogram recordings) to create a sophisticated monitoring platform. The primary intended use of the platform is to monitor elderly people living alone and, in case of fall detection, transmit relevant information to relatives or medical staff and/or perform specific actions (e.g., turn off kitchen appliances).\",\"PeriodicalId\":129350,\"journal\":{\"name\":\"2019 12th International Conference on Measurement\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 12th International Conference on Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MEASUREMENT47340.2019.8780004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 12th International Conference on Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MEASUREMENT47340.2019.8780004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kinect-Based Platform for Movement Monitoring and Fall-Detection of Elderly People
The presented article details our platform for movement monitoring and fall-detection of persons based on data acquired from a Microsoft Kinect v2 sensor. The proposed platform is programmed in the C# programming language for more efficient real-time analysis of the obtained spatial data and future modularity - allowing the integration of other data sources (e.g., thermal sensors, accelerometer data or electrocardiogram recordings) to create a sophisticated monitoring platform. The primary intended use of the platform is to monitor elderly people living alone and, in case of fall detection, transmit relevant information to relatives or medical staff and/or perform specific actions (e.g., turn off kitchen appliances).