E. Fujiwara, Yu Tzu Wu, M. F. M. Santos, E. Schenkel, C. Suzuki
{"title":"一种用于评估手部运动和力量的光纤FMG传感器的开发","authors":"E. Fujiwara, Yu Tzu Wu, M. F. M. Santos, E. Schenkel, C. Suzuki","doi":"10.1109/ICMECH.2015.7083969","DOIUrl":null,"url":null,"abstract":"The development of an optical fiber specklegram sensor for detection of force myography (FMG) signals produced by hand forces and movements is presented. The optomechanical transducers are attached to the user forearm, causing variations on speckle field intensities, which are processed and then correlated to particular hand postures. The results indicated the viability to identify changes on hand configurations and forces, in which the force retrieval can be implemented via artificial neural networks after a previous calibration. The fiber FMG sensor can be further applied on human-system interfaces, as well as integrated to glove-based sensors in order to provide a robust detection of hand movements and forces.","PeriodicalId":179621,"journal":{"name":"2015 IEEE International Conference on Mechatronics (ICM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Development of an optical fiber FMG sensor for the assessment of hand movements and forces\",\"authors\":\"E. Fujiwara, Yu Tzu Wu, M. F. M. Santos, E. Schenkel, C. Suzuki\",\"doi\":\"10.1109/ICMECH.2015.7083969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of an optical fiber specklegram sensor for detection of force myography (FMG) signals produced by hand forces and movements is presented. The optomechanical transducers are attached to the user forearm, causing variations on speckle field intensities, which are processed and then correlated to particular hand postures. The results indicated the viability to identify changes on hand configurations and forces, in which the force retrieval can be implemented via artificial neural networks after a previous calibration. The fiber FMG sensor can be further applied on human-system interfaces, as well as integrated to glove-based sensors in order to provide a robust detection of hand movements and forces.\",\"PeriodicalId\":179621,\"journal\":{\"name\":\"2015 IEEE International Conference on Mechatronics (ICM)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Mechatronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECH.2015.7083969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Mechatronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECH.2015.7083969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of an optical fiber FMG sensor for the assessment of hand movements and forces
The development of an optical fiber specklegram sensor for detection of force myography (FMG) signals produced by hand forces and movements is presented. The optomechanical transducers are attached to the user forearm, causing variations on speckle field intensities, which are processed and then correlated to particular hand postures. The results indicated the viability to identify changes on hand configurations and forces, in which the force retrieval can be implemented via artificial neural networks after a previous calibration. The fiber FMG sensor can be further applied on human-system interfaces, as well as integrated to glove-based sensors in order to provide a robust detection of hand movements and forces.