{"title":"采用MEMS加速度计的无线手势识别系统","authors":"O. Sidek, Munajat Abdul Hadi","doi":"10.1109/ISTMET.2014.6936550","DOIUrl":null,"url":null,"abstract":"Gesture recognition system is a system to interpret movement of hand or head via algorithms. Algorithms to interpret gesture are in the form of software, hardware or combination of both. The main goal of gesture recognition system is to enable humans to communicate with machine. This paper present the development of wireless Bluetooth hand gesture recognition system using six 3-axis accelerometers embedded in a glove and a database system in a computer. This system can recognize any sampled data saved in the database while promoting maximum portability and mobility to the user via wireless Bluetooth technology. Analyses such as static data, dynamic data, and average recognition rates relationships are discussed in this paper.","PeriodicalId":364834,"journal":{"name":"2014 International Symposium on Technology Management and Emerging Technologies","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Wireless gesture recognition system using MEMS accelerometer\",\"authors\":\"O. Sidek, Munajat Abdul Hadi\",\"doi\":\"10.1109/ISTMET.2014.6936550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Gesture recognition system is a system to interpret movement of hand or head via algorithms. Algorithms to interpret gesture are in the form of software, hardware or combination of both. The main goal of gesture recognition system is to enable humans to communicate with machine. This paper present the development of wireless Bluetooth hand gesture recognition system using six 3-axis accelerometers embedded in a glove and a database system in a computer. This system can recognize any sampled data saved in the database while promoting maximum portability and mobility to the user via wireless Bluetooth technology. Analyses such as static data, dynamic data, and average recognition rates relationships are discussed in this paper.\",\"PeriodicalId\":364834,\"journal\":{\"name\":\"2014 International Symposium on Technology Management and Emerging Technologies\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Symposium on Technology Management and Emerging Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISTMET.2014.6936550\",\"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 International Symposium on Technology Management and Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTMET.2014.6936550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wireless gesture recognition system using MEMS accelerometer
Gesture recognition system is a system to interpret movement of hand or head via algorithms. Algorithms to interpret gesture are in the form of software, hardware or combination of both. The main goal of gesture recognition system is to enable humans to communicate with machine. This paper present the development of wireless Bluetooth hand gesture recognition system using six 3-axis accelerometers embedded in a glove and a database system in a computer. This system can recognize any sampled data saved in the database while promoting maximum portability and mobility to the user via wireless Bluetooth technology. Analyses such as static data, dynamic data, and average recognition rates relationships are discussed in this paper.