{"title":"MoCapaci:使用纺织电缆作为电容天线,在宽松的服装中进行姿势和手势检测","authors":"Hymalai Bello, Bo Zhou, Sungho Suh, P. Lukowicz","doi":"10.1145/3460421.3480418","DOIUrl":null,"url":null,"abstract":"We present a wearable system to detect body postures and gestures that does not require sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing system can be used in a loose piece of clothing such as a coat/blazer. It is based on the well-known theremin musical instrument, which we have unobtrusively integrated into a standard men’s blazer using conductive textile antennas and OpenTheremin hardware as a prototype, the ”MoCaBlazer.” Fourteen participants with diverse body sizes and balanced gender distribution mimicked 20 arm/torso movements with the unbuttoned, single-sized blazer. State-of-the-art deep learning approaches were used to achieve average recognition accuracy results of 97.18% for leave one recording out and 86.25% for user independent recognition.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas\",\"authors\":\"Hymalai Bello, Bo Zhou, Sungho Suh, P. Lukowicz\",\"doi\":\"10.1145/3460421.3480418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a wearable system to detect body postures and gestures that does not require sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing system can be used in a loose piece of clothing such as a coat/blazer. It is based on the well-known theremin musical instrument, which we have unobtrusively integrated into a standard men’s blazer using conductive textile antennas and OpenTheremin hardware as a prototype, the ”MoCaBlazer.” Fourteen participants with diverse body sizes and balanced gender distribution mimicked 20 arm/torso movements with the unbuttoned, single-sized blazer. State-of-the-art deep learning approaches were used to achieve average recognition accuracy results of 97.18% for leave one recording out and 86.25% for user independent recognition.\",\"PeriodicalId\":395295,\"journal\":{\"name\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3460421.3480418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460421.3480418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas
We present a wearable system to detect body postures and gestures that does not require sensors to be firmly fixed to the body or integrated into a tight-fitting garment. The sensing system can be used in a loose piece of clothing such as a coat/blazer. It is based on the well-known theremin musical instrument, which we have unobtrusively integrated into a standard men’s blazer using conductive textile antennas and OpenTheremin hardware as a prototype, the ”MoCaBlazer.” Fourteen participants with diverse body sizes and balanced gender distribution mimicked 20 arm/torso movements with the unbuttoned, single-sized blazer. State-of-the-art deep learning approaches were used to achieve average recognition accuracy results of 97.18% for leave one recording out and 86.25% for user independent recognition.