{"title":"基于惯性和磁传感器的关节角检测新方法","authors":"Yuqiu Huang, Minghao Gou, Peihan Zhang, Xi Wang, Haoyu Xie, X. Sheng","doi":"10.1109/M2VIP.2018.8600868","DOIUrl":null,"url":null,"abstract":"The development of various robotic and biomedical devices has raised demands for accurate, cheap and quickresponsive joint angle sensors. To address the problem, a novel system together with a computation method for joint angle sensing based on inertial and magnetic sensors has been proposed in this paper. This method utilizes a uniform gravitational field and a uniform magnetic field in space. Low-pass filter is applied to reduce the interference of high-frequency noise. The data are also calibrated using ellipsoidal calibration model. Then the system synthesizes the two filtered and calibrated data to calculate the angle between the arms of a joint. Compared to other existing methods, this method keeps a good accuracy while greatly reduces the cost and complexity of the system. One example of the implementation of this method is given in this paper. And the results of both static and dynamic measurement experiments validate the feasibility of the method.","PeriodicalId":365579,"journal":{"name":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Novel Method for Detecting Joint Angles Based on Inertial and Magnetic Sensors\",\"authors\":\"Yuqiu Huang, Minghao Gou, Peihan Zhang, Xi Wang, Haoyu Xie, X. Sheng\",\"doi\":\"10.1109/M2VIP.2018.8600868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of various robotic and biomedical devices has raised demands for accurate, cheap and quickresponsive joint angle sensors. To address the problem, a novel system together with a computation method for joint angle sensing based on inertial and magnetic sensors has been proposed in this paper. This method utilizes a uniform gravitational field and a uniform magnetic field in space. Low-pass filter is applied to reduce the interference of high-frequency noise. The data are also calibrated using ellipsoidal calibration model. Then the system synthesizes the two filtered and calibrated data to calculate the angle between the arms of a joint. Compared to other existing methods, this method keeps a good accuracy while greatly reduces the cost and complexity of the system. One example of the implementation of this method is given in this paper. And the results of both static and dynamic measurement experiments validate the feasibility of the method.\",\"PeriodicalId\":365579,\"journal\":{\"name\":\"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/M2VIP.2018.8600868\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/M2VIP.2018.8600868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Method for Detecting Joint Angles Based on Inertial and Magnetic Sensors
The development of various robotic and biomedical devices has raised demands for accurate, cheap and quickresponsive joint angle sensors. To address the problem, a novel system together with a computation method for joint angle sensing based on inertial and magnetic sensors has been proposed in this paper. This method utilizes a uniform gravitational field and a uniform magnetic field in space. Low-pass filter is applied to reduce the interference of high-frequency noise. The data are also calibrated using ellipsoidal calibration model. Then the system synthesizes the two filtered and calibrated data to calculate the angle between the arms of a joint. Compared to other existing methods, this method keeps a good accuracy while greatly reduces the cost and complexity of the system. One example of the implementation of this method is given in this paper. And the results of both static and dynamic measurement experiments validate the feasibility of the method.