{"title":"Detection System Design of the Glenohumeral Joint Motion Information","authors":"Jianfeng Li, Chunzhao Zhang, Qiang Cao","doi":"10.5220/0008867702220226","DOIUrl":null,"url":null,"abstract":": Due to the complex coupled motion of shoulder mechanism, design the guiding movement rule of rehabilitation robot generally lack of the glenohumeral (GH) joint motion information. This study focused on development detection system design of the GH joint motion information. In this paper, the detection system incorporates the detection mechanism and measurement system. Design of the detection mechanism includes model of the shoulder complex, configuration as well as structure design of the detection mechanism. Design of the measurement system includes hardware selection and software development. Straight after, detection system was integrated. Then, test and analysis was presented. The results show the detection system can measure and present the GH joint motion information in real time. It provides a method to obtain the movement information of the GH joint, and has practical significance for shoulder function simulation and ergonomics.","PeriodicalId":186406,"journal":{"name":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0008867702220226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: Due to the complex coupled motion of shoulder mechanism, design the guiding movement rule of rehabilitation robot generally lack of the glenohumeral (GH) joint motion information. This study focused on development detection system design of the GH joint motion information. In this paper, the detection system incorporates the detection mechanism and measurement system. Design of the detection mechanism includes model of the shoulder complex, configuration as well as structure design of the detection mechanism. Design of the measurement system includes hardware selection and software development. Straight after, detection system was integrated. Then, test and analysis was presented. The results show the detection system can measure and present the GH joint motion information in real time. It provides a method to obtain the movement information of the GH joint, and has practical significance for shoulder function simulation and ergonomics.