{"title":"基于隐马尔可夫模型的运动数据库运动建模与搜索方法","authors":"Y. Ohnishi, S. Katsura","doi":"10.1109/IECON.2011.6120003","DOIUrl":null,"url":null,"abstract":"In order to address the problem such as aging of workers and craftsmen, ‘motion database’ is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the ‘motion database’ practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.","PeriodicalId":105539,"journal":{"name":"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Motion modeling and search method based on hidden Markov model for motion database\",\"authors\":\"Y. Ohnishi, S. Katsura\",\"doi\":\"10.1109/IECON.2011.6120003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to address the problem such as aging of workers and craftsmen, ‘motion database’ is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the ‘motion database’ practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.\",\"PeriodicalId\":105539,\"journal\":{\"name\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2011.6120003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2011.6120003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion modeling and search method based on hidden Markov model for motion database
In order to address the problem such as aging of workers and craftsmen, ‘motion database’ is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the ‘motion database’ practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.