Proceedings of the 2015 ACM International Symposium on Wearable Computers最新文献

Improving floor localization accuracy in 3D spaces using barometer 利用气压计提高三维空间地板定位精度

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2802089

Dipyaman Banerjee, Sheetal K. Agarwal, Parikshit Sharma

{"title":"Improving floor localization accuracy in 3D spaces using barometer","authors":"Dipyaman Banerjee, Sheetal K. Agarwal, Parikshit Sharma","doi":"10.1145/2802083.2802089","DOIUrl":"https://doi.org/10.1145/2802083.2802089","url":null,"abstract":"Technologies such as Wifi and BLE have been proven to be effective for indoor localization in two dimensional spaces with sufficiently good accuracy but the same techniques have large margin of errors when it comes to three dimensional spaces. Popular 3D spaces such as malls or airports are marked by distinct structural features - atrium/hollow space and large corridors which reduces spatial variability of WiFi and BLE signal strengths leading to erroneous location prediction. A large fraction of these errors can be attributed to vertical jumps where the predicted location has same horizontal coordinate as the actual location but differs in the vertical coordinate. Smartphones now come equipped with barometer sensor which could be used to solve this problem and create 3D localization solution having better accuracy. Research shows that the barometer can be used to determine relative vertical movement and its direction with nearly 100% accuracy. However exact floor prediction requires repeated calibration of the barometer measurements as pressure values vary significantly across device, time and locations. In this paper we present a method of automatically calibrating smartphone embedded barometers to provide accurate 3D localization. Our method combines a probabilistic learning method with a pressure drift elimination algorithm. We also show that when the floor value is accurately predicted, Wifi localization accuracy improves by 25% for 3D spaces. We validate our techniques in a real shopping mall and provide valuable insights from practical experiences.","PeriodicalId":372395,"journal":{"name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125531396","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: 18

Creating gaze annotations in head mounted displays 在头戴式显示器中创建凝视注释

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808404

D. Mardanbegi, Pernilla Qvarfordt

引用次数: 6

Creating general model for activity recognition with minimum labelled data 用最小的标记数据创建活动识别的通用模型

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808399

Jiahui Wen, Mingyang Zhong, J. Indulska

引用次数: 10

Addressing dresses: user interface allowing for interdisciplinary design and calibration of LED embedded garments 寻址服装:用户界面允许跨学科设计和校准LED嵌入式服装

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808403

Z. Cochran, C. Zeagler, S. McCall

引用次数: 5

Comparing order picking assisted by head-up display versus pick-by-light with explicit pick confirmation 比较抬头显示辅助拣货与明确拣货确认的光拣货

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808408

Xiaolong Wu, Malcolm Haynes, Yixin Zhang, Ziyi Jiang, Zhengyang Shen, Anhong Guo, Thad Starner, Scott M. Gilliland

引用次数: 19

Glass-physics: using google glass to support high school physics experiments 玻璃物理:用谷歌眼镜支持高中物理实验

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808407

P. Lukowicz, Andreas Poxrucker, Jens Weppner, B. Bischke, J. Kuhn, M. Hirth

引用次数: 22

A framework for early event detection for wearable systems 可穿戴系统的早期事件检测框架

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808389

Eva Dorschky, D. Schuldhaus, Harald Koerger, B. Eskofier

{"title":"A framework for early event detection for wearable systems","authors":"Eva Dorschky, D. Schuldhaus, Harald Koerger, B. Eskofier","doi":"10.1145/2802083.2808389","DOIUrl":"https://doi.org/10.1145/2802083.2808389","url":null,"abstract":"A considerable number of wearable system applications necessitate early event detection (EED). EED is defined as the detection of an event with as much lead time as possible. Applications include physiological (e.g., epileptic seizure or heart stroke) or biomechanical (e.g., fall movement or sports event) monitoring systems. EED for wearable systems is under-investigated in literature. Therefore, we introduce a novel EED framework for wearable systems based on hybrid Hidden Markov Models. Our study specifically targets EED based on inertial measurement unit (IMU) signals in sports. We investigate the early detection of high intensive soccer kicks, with the possible pre-kick adaptation of a soccer shoe before the shoe-ball impact in mind. We conducted a study with ten subjects and recorded 226 kicks using a custom IMU placed in a soccer shoe cavity. We evaluated our framework in terms of EED accuracy and EED latency. In conclusion, our framework delivers the required accuracy and lead times for EED of soccer kicks and can be straightforwardly adapted to other wearable system applications that necessitate EED.","PeriodicalId":372395,"journal":{"name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132782630","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: 8

Proceedings of the 2015 ACM International Symposium on Wearable Computers 2015年ACM可穿戴计算机国际研讨会论文集

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083

K. Mase, Marc Langheinrich, D. Gática-Pérez, Kristof Van Laerhoven, T. Terada

引用次数: 6

Magnetic input for mobile virtual reality 用于移动虚拟现实的磁输入

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808395

Boris Smus, Christopher J. Riederer

引用次数: 24

Robust in-situ data reconstruction from poisson noise for low-cost, mobile, non-expert environmental sensing 基于泊松噪声的鲁棒原位数据重建，用于低成本、移动、非专家环境传感

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808406

M. Budde, M. Köpke, M. Beigl

引用次数: 19