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2008 12th IEEE International Symposium on Wearable Computers最新文献

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Lightweight hand and arm tracking for mobile augmented reality 用于移动增强现实的轻量级手和手臂跟踪
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911595
Ross T. Smith, Ben Avery, B. Thomas
{"title":"Lightweight hand and arm tracking for mobile augmented reality","authors":"Ross T. Smith, Ben Avery, B. Thomas","doi":"10.1109/ISWC.2008.4911595","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911595","url":null,"abstract":"We present a mobile tracking system for hands and arms capable of detecting the full range of motion, suitable for use in mobile augmented reality systems. The hand position is tracked using orientation sensors attached to the upper and forearms. Using two or more orientation sensors, the natural movements of the human arm can be captured relative to the user's torso. This tracking technique allows unique interaction in a mobile augmented reality environment performing tasks such as selection and moving of 3D objects. Further, we have applied a non-linear scaling technique allowing out of arms reach interaction area.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132218614","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: 0
Using a complex multi-modal on-body sensor system for activity spotting 使用复杂的多模态身体传感器系统进行活动定位
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911585
G. Ogris, T. Stiefmeier, P. Lukowicz, G. Tröster
{"title":"Using a complex multi-modal on-body sensor system for activity spotting","authors":"G. Ogris, T. Stiefmeier, P. Lukowicz, G. Tröster","doi":"10.1109/ISWC.2008.4911585","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911585","url":null,"abstract":"This paper describes an approach to real-life task tracking using a multi-modal, on-body sensor system. The specific example that we study is quality inspection in car production. This task is composed of up to 20 activity classes such as checking gaps between parts of the chassis, opening and closing the hood and trunk, moving the driver's seat, and turning the steering wheel. Most of these involve subtle and short movements and have a high degree of variability in the way they are performed. To nonetheless spot those actions in a continuous data stream we use a wearable system composed of 7 motion sensors, 16 force sensing resistors (FSR) for lower arm muscle monitoring and 4 ultra-wide band (UWB) tags for tracking user position. We propose a recognition approach that deals separately with each activity class and then merges the results in a final reasoning step. This allows us to fine-tune the system parameters separately for each activity. It also means that the system can be easily extended to accommodate further activities. To demonstrate the feasibility of our approach we present the results of a study with 8 participants and a total of 2394 activities.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127963872","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: 46
Wearable experience capture for episodic memory support 可穿戴式体验捕捉支持情景记忆
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911596
Matthew L. Lee, A. Dey
{"title":"Wearable experience capture for episodic memory support","authors":"Matthew L. Lee, A. Dey","doi":"10.1109/ISWC.2008.4911596","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911596","url":null,"abstract":"People with recent episodic memory impairment (EMI) such as individuals with Alzheimer's disease suffer from the lack of awareness of their recent experiences. We designed a wearable lifelogging system that allows these individuals to automatically and passively capture their experiences, select and annotate the most salient memory cues from the lifelog, and present these cues to support reminiscence of the experience with a self-guided, memory-exercising interaction.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117076440","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
Stop burdening your eyes: A wearable electro-tactile display 不再给你的眼睛增加负担:一种可穿戴的电子触觉显示器
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911600
S. Lee, Thad Starner
{"title":"Stop burdening your eyes: A wearable electro-tactile display","authors":"S. Lee, Thad Starner","doi":"10.1109/ISWC.2008.4911600","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911600","url":null,"abstract":"Mobile phone calls are often missed due to the user not hearing the phone ring or feeling it vibrate. We present the design of wearable textile-based electro-tactile display embedded in a wristband that can be integrated with current mobile phones and wearable computers. The display provides the user with an unobtrusive alert that is easy to distinguish. We explore several aspects of directional patterns for a design of electro-tactile stimulation while maintaining an appropriate form factor for a wristband.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"690 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116113605","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
Exploring semi-supervised and active learning for activity recognition 探索半监督和主动学习的活动识别
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911590
Maja Stikic, Kristof Van Laerhoven, B. Schiele
{"title":"Exploring semi-supervised and active learning for activity recognition","authors":"Maja Stikic, Kristof Van Laerhoven, B. Schiele","doi":"10.1109/ISWC.2008.4911590","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911590","url":null,"abstract":"In recent years research on human activity recognition using wearable sensors has enabled to achieve impressive results on real-world data. However, the most successful activity recognition algorithms require substantial amounts of labeled training data. The generation of this data is not only tedious and error prone but also limits the applicability and scalability of today's approaches. This paper explores and systematically analyzes two different techniques to significantly reduce the required amount of labeled training data. The first technique is based on semi-supervised learning and uses self-training and co-training. The second technique is inspired by active learning. In this approach the system actively asks which data the user should label. With both techniques, the required amount of training data can be reduced significantly while obtaining similar and sometimes even better performance than standard supervised techniques. The experiments are conducted using one of the largest and richest currently available datasets.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126668782","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: 205
Sensing and actuation: End-to-end wireless systems design for mission critical applications 传感和驱动:关键任务应用的端到端无线系统设计
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911606
E. Gaura, J. Brusey
{"title":"Sensing and actuation: End-to-end wireless systems design for mission critical applications","authors":"E. Gaura, J. Brusey","doi":"10.1109/ISWC.2008.4911606","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911606","url":null,"abstract":"Wireless sensor networks (WSNs) offer immense potential for performing detailed multi-parameter measurements in a variety of applications. When coupled with actuation, this technology could become even more powerful.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127888470","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: 0
AstroWheelie: A wheelchair based exercise game AstroWheelie:一个基于轮椅的运动游戏
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911599
Stephen Cuzzort, Thad Starner
{"title":"AstroWheelie: A wheelchair based exercise game","authors":"Stephen Cuzzort, Thad Starner","doi":"10.1109/ISWC.2008.4911599","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911599","url":null,"abstract":"Exercise is necessary to maintain physical fitness and well-being. However, many people who have limited use of their legs and need the aid of a wheelchair may find it difficult to get an adequate amount of physical activity each day. In this work, we describe AstroWheelie, a version of the classic arcade game \"Asteroidstrade\" which is played by using a wheelchair as the game interface. AstroWheelie encourages exercise in a enjoyable game that is appropriate for all age groups.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116377675","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: 20
Scheming textiles: End-user programming for wearables 规划纺织品:可穿戴设备的终端用户编程
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911598
Nwanua Elumeze, M. Eisenberg
{"title":"Scheming textiles: End-user programming for wearables","authors":"Nwanua Elumeze, M. Eisenberg","doi":"10.1109/ISWC.2008.4911598","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911598","url":null,"abstract":"This paper attempts to expand the landscape of wearable computing with button-schemer, an ldquoambient program readerrdquo that can be used to input program code directly from a computer screen or from specially bar-coded surfaces. The placement of programs for such a device can be made informal, creative, and practically ubiquitous, suggestive of ways to extend the traditional notions that wearables are to be worn, but not programmed away from a desktop computer.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130376262","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: 0
Localization and 3D Reconstruction of Urban Scenes Using GPS 基于GPS的城市场景定位与三维重建
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911576
Kihwan Kim, J. Summet, Thad Starner, Daniel Ashbrook, Mrunal Kapade, Irfan Essa
{"title":"Localization and 3D Reconstruction of Urban Scenes Using GPS","authors":"Kihwan Kim, J. Summet, Thad Starner, Daniel Ashbrook, Mrunal Kapade, Irfan Essa","doi":"10.1109/ISWC.2008.4911576","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911576","url":null,"abstract":"Using off-the-shelf Global Positioning System (GPS) units, we reconstruct buildings in 3D by exploiting the reduction in signal to noise ratio (SNR) that occurs when the buildings obstruct the line-of-sight between the moving units and the orbiting satellites. We measure the size and height of skyscrapers as well as automatically constructing a density map representing the location of multiple buildings in an urban landscape. If deployed on a large scale, via a cellular service provider’s GPS-enabled mobile phones or GPS-tracked delivery vehicles, the system could provide an inexpensive means of continuously creating and updating 3D maps of urban environments.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129844079","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: 25
A new approach to enable gesture recognition in continuous data streams 一种在连续数据流中实现手势识别的新方法
2008 12th IEEE International Symposium on Wearable Computers Pub Date : 2008-09-28 DOI: 10.1109/ISWC.2008.4911581
Andreas Zinnen, B. Schiele
{"title":"A new approach to enable gesture recognition in continuous data streams","authors":"Andreas Zinnen, B. Schiele","doi":"10.1109/ISWC.2008.4911581","DOIUrl":"https://doi.org/10.1109/ISWC.2008.4911581","url":null,"abstract":"Gesture recognition has great potential for mobile and wearable computing. Most papers in this area focus on classifying different gestures, but do not evaluate the distinctiveness of gestures in continuous recordings of gestures in daily life. This paper presents a new approach for the important and challenging problem of gesture recognition in continuous data streams. We use turning points of arm movements to identify segments of interest in the continuous data stream. The recognition algorithm considers both the direction of movements between turning points and the shape of the turning points for classification. Using the new method, seven gestures of different complexity are evaluated against a realistic background class of daily gestures in five different scenarios.","PeriodicalId":336550,"journal":{"name":"2008 12th IEEE International Symposium on Wearable Computers","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098941","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: 13
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