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International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)最新文献

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Experiments in the detection of upper limb posture through kinestetic strain sensors 动态应变传感器检测上肢姿态的实验研究
International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06) Pub Date : 2006-04-03 DOI: 10.1109/BSN.2006.25
T. Giorgino, S. Quaglini, F. Lorussi, D. Rossi
{"title":"Experiments in the detection of upper limb posture through kinestetic strain sensors","authors":"T. Giorgino, S. Quaglini, F. Lorussi, D. Rossi","doi":"10.1109/BSN.2006.25","DOIUrl":"https://doi.org/10.1109/BSN.2006.25","url":null,"abstract":"Conductive elastomers are strain-sensing technology which can be embedded unobtrusively into a garment's fabric. A prototype was realized to simultaneously measure the strains at multiple points of a shirt covering the thorax and upper limb. This paper describes preliminary experiments with machine learning techniques, employed to analyse the strain measures in order to reliably reconstruct upper-limb posture. The scope of the application is to detect execution, correctness and progress of physical exercises performed as part of neurological rehabilitation therapy","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129566957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Source recovery for body sensor network 人体传感器网络的源恢复
International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06) Pub Date : 2006-04-03 DOI: 10.1109/BSN.2006.51
Benny P. L. Lo, F. Deligianni, Guang-Zhong Yang
{"title":"Source recovery for body sensor network","authors":"Benny P. L. Lo, F. Deligianni, Guang-Zhong Yang","doi":"10.1109/BSN.2006.51","DOIUrl":"https://doi.org/10.1109/BSN.2006.51","url":null,"abstract":"To accurately capture clinically relevant episodes with body sensor networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual information. Due to the heterogeneous nature of the sensors compounded by the mixture of signals across different sensor channels, this process can be practically difficult. The purpose of this paper is to describe the use of source separation for BSN based on independent component analysis (ICA). We demonstrate how this can be used in practical BSN experiments when the number of sensing channels is limited","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
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