{"title":"使用一个三轴加速度计估计移动保健活动","authors":"A. Akahori, Y. Kishimoto, K. Oguri","doi":"10.1109/ISSMDBS.2006.360114","DOIUrl":null,"url":null,"abstract":"Recently, a person who has a risk or patient of metabolic syndrome or diabetes or life-style related diseases are increasing. So, walking has gotten a lot of attention as a prevention method. Pedometer is often used in walking. Recently, pedometer calculates energy expenditure from number of steps and their weight. But, there is not pedometer which calculated energy expenditure from consider the walking involved with slope. So in this study, we use only one three-axis acceleration sensor. And we proposed the estimate activity algorithm to analysis of data from sensor. For evaluation experiment 50 data were collected from 10 healthy subjects. As a result, a good result of no less than 95% was obtained in \"stop\", \"walk\", \"upstairs\", and \"downstairs\".","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Estimate activity for M-health using one three-axis accelerometer\",\"authors\":\"A. Akahori, Y. Kishimoto, K. Oguri\",\"doi\":\"10.1109/ISSMDBS.2006.360114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, a person who has a risk or patient of metabolic syndrome or diabetes or life-style related diseases are increasing. So, walking has gotten a lot of attention as a prevention method. Pedometer is often used in walking. Recently, pedometer calculates energy expenditure from number of steps and their weight. But, there is not pedometer which calculated energy expenditure from consider the walking involved with slope. So in this study, we use only one three-axis acceleration sensor. And we proposed the estimate activity algorithm to analysis of data from sensor. For evaluation experiment 50 data were collected from 10 healthy subjects. As a result, a good result of no less than 95% was obtained in \\\"stop\\\", \\\"walk\\\", \\\"upstairs\\\", and \\\"downstairs\\\".\",\"PeriodicalId\":409380,\"journal\":{\"name\":\"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSMDBS.2006.360114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSMDBS.2006.360114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimate activity for M-health using one three-axis accelerometer
Recently, a person who has a risk or patient of metabolic syndrome or diabetes or life-style related diseases are increasing. So, walking has gotten a lot of attention as a prevention method. Pedometer is often used in walking. Recently, pedometer calculates energy expenditure from number of steps and their weight. But, there is not pedometer which calculated energy expenditure from consider the walking involved with slope. So in this study, we use only one three-axis acceleration sensor. And we proposed the estimate activity algorithm to analysis of data from sensor. For evaluation experiment 50 data were collected from 10 healthy subjects. As a result, a good result of no less than 95% was obtained in "stop", "walk", "upstairs", and "downstairs".