Deepam Yasvant Ambelal, M. Shuma-Iwisi, A. Mohamed
{"title":"基于优化的手对手人体电路模型的开发","authors":"Deepam Yasvant Ambelal, M. Shuma-Iwisi, A. Mohamed","doi":"10.1109/ELECOM54934.2022.9965224","DOIUrl":null,"url":null,"abstract":"The work carried out was to develop a model of the human upper body. The model developed took into account five displacement characteristics of the subject, and five optimizing parameters. The model was applied on 18 healthy, un-amputated participants for the scenario of grasping an insulated, flat, two-core power cable for a lamp to determine the effect EMI has on electromyography sensors due to capacitive coupling. The experiment evaluated four cases which covered the combinations of using each hand to grasp the cable and two rotational orientations of the cable in the grasp. The unique parameters for each participant model were fine-tuned to achieve the lowest average error given certain criteria. The resulting average error across all participants for modelling the four cases was 27.4 %. The lowest average error achieved for a single participant was 9.6 %.","PeriodicalId":302869,"journal":{"name":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Hand-to-Hand Human Body Electric Circuit Model with optimisation\",\"authors\":\"Deepam Yasvant Ambelal, M. Shuma-Iwisi, A. Mohamed\",\"doi\":\"10.1109/ELECOM54934.2022.9965224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work carried out was to develop a model of the human upper body. The model developed took into account five displacement characteristics of the subject, and five optimizing parameters. The model was applied on 18 healthy, un-amputated participants for the scenario of grasping an insulated, flat, two-core power cable for a lamp to determine the effect EMI has on electromyography sensors due to capacitive coupling. The experiment evaluated four cases which covered the combinations of using each hand to grasp the cable and two rotational orientations of the cable in the grasp. The unique parameters for each participant model were fine-tuned to achieve the lowest average error given certain criteria. The resulting average error across all participants for modelling the four cases was 27.4 %. The lowest average error achieved for a single participant was 9.6 %.\",\"PeriodicalId\":302869,\"journal\":{\"name\":\"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELECOM54934.2022.9965224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELECOM54934.2022.9965224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Hand-to-Hand Human Body Electric Circuit Model with optimisation
The work carried out was to develop a model of the human upper body. The model developed took into account five displacement characteristics of the subject, and five optimizing parameters. The model was applied on 18 healthy, un-amputated participants for the scenario of grasping an insulated, flat, two-core power cable for a lamp to determine the effect EMI has on electromyography sensors due to capacitive coupling. The experiment evaluated four cases which covered the combinations of using each hand to grasp the cable and two rotational orientations of the cable in the grasp. The unique parameters for each participant model were fine-tuned to achieve the lowest average error given certain criteria. The resulting average error across all participants for modelling the four cases was 27.4 %. The lowest average error achieved for a single participant was 9.6 %.