{"title":"带加速度计的手持设备位移测量算法","authors":"Tianhuang Chen, Weiyi Hu, R. Sun","doi":"10.1109/APWCS.2010.37","DOIUrl":null,"url":null,"abstract":"Analysis a large amounts of data acquired by a accelerometer embeded in a handheld device for figuring out the characteristics of the acceleration samples. In order to get a higher precision result of displacement after twice integration, samples are imposed a series of filtering and amendments on the basisi of the application. While de-noising the noise inducted by the accelerometer infrastructure, a dynamic adjustment mechanism is introduced to adust the filter parameters. That makes the stillness detection algorithm more effective. Experiments show that although the robustness needs to be improved, the algorithm has reached a good accuracy, this research lays a foundation for further study.","PeriodicalId":354322,"journal":{"name":"2010 Asia-Pacific Conference on Wearable Computing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Displacement Measurement Algorithm Using Handheld Device with Accelerometer\",\"authors\":\"Tianhuang Chen, Weiyi Hu, R. Sun\",\"doi\":\"10.1109/APWCS.2010.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis a large amounts of data acquired by a accelerometer embeded in a handheld device for figuring out the characteristics of the acceleration samples. In order to get a higher precision result of displacement after twice integration, samples are imposed a series of filtering and amendments on the basisi of the application. While de-noising the noise inducted by the accelerometer infrastructure, a dynamic adjustment mechanism is introduced to adust the filter parameters. That makes the stillness detection algorithm more effective. Experiments show that although the robustness needs to be improved, the algorithm has reached a good accuracy, this research lays a foundation for further study.\",\"PeriodicalId\":354322,\"journal\":{\"name\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWCS.2010.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Asia-Pacific Conference on Wearable Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS.2010.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Displacement Measurement Algorithm Using Handheld Device with Accelerometer
Analysis a large amounts of data acquired by a accelerometer embeded in a handheld device for figuring out the characteristics of the acceleration samples. In order to get a higher precision result of displacement after twice integration, samples are imposed a series of filtering and amendments on the basisi of the application. While de-noising the noise inducted by the accelerometer infrastructure, a dynamic adjustment mechanism is introduced to adust the filter parameters. That makes the stillness detection algorithm more effective. Experiments show that although the robustness needs to be improved, the algorithm has reached a good accuracy, this research lays a foundation for further study.