Proceedings of the 2015 ACM International Symposium on Wearable Computers最新文献_第4页

MAGIC pointing for eyewear computers 魔术指向眼镜电脑

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2802094

Shahram Jalaliniya, D. Mardanbegi, Thomas Pederson

引用次数: 36

Affordances for self-tracking wearable devices 自我跟踪可穿戴设备的可行性

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2802090

A. Rapp, F. Cena

引用次数: 26

Surface-mount component attachment for e-textiles 电子纺织品表面贴装元件附件

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808413

Mary Ellen Berglund, Julia Duvall, Cory Simon, Lucy E. Dunne

引用次数: 31

Fine-grained social relationship extraction from real activity data under coarse supervision 在粗监督下，从真实活动数据中提取细粒度的社会关系

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808402

K. Tsubouchi, Osamu Saisho, Junichi Sato, Seira Araki, M. Shimosaka

{"title":"Fine-grained social relationship extraction from real activity data under coarse supervision","authors":"K. Tsubouchi, Osamu Saisho, Junichi Sato, Seira Araki, M. Shimosaka","doi":"10.1145/2802083.2808402","DOIUrl":"https://doi.org/10.1145/2802083.2808402","url":null,"abstract":"Understanding social relationships plays an important role in smooth information sharing and project management. Recently, extracting social relationships from activity sensor data has gained popularity, and many researchers have tried to detect close relationship pairs based on the similarities between activity sensor data, namely, unsupervised approaches. However, there is room for further research into social relationship analysis of sensor data in terms of extraction performance. We therefore focus on improving the accuracy of detection and propose a novel fine-grained social relationship extraction from coarse supervision data by supervised approach based on multiple instance learning. In this paper, fine-grained relationship means the relationship including information about the time and duration they are together, and coarse supervision data is the data containing only information about whether they are together in a day. In this research, we evaluate the feasibility of our extraction method and analyze the extracted fine-grained social relationships. Our approach improve detection accuracy and achieve extraction of fine-grained relationships from coarse supervision data.","PeriodicalId":372395,"journal":{"name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers","volume":"9 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":"122349110","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: 6

Smart-watch life saver: smart-watch interactive-feedback system for improving bystander CPR 智能手表救命器:改善旁观者心肺复苏术的智能手表交互反馈系统

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2802086

Agnes Grünerbl, Gerald Pirkl, E. Monger, M. Gobbi, P. Lukowicz

引用次数: 41

Multi-sensor data-driven: synchronization using wearable sensors 多传感器数据驱动:使用可穿戴传感器进行同步

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2808393

Terrell R. Bennett, N. Gans, R. Jafari

引用次数: 12

Sensor-based stroke detection and stroke type classification in table tennis 基于传感器的乒乓球击球检测与击球类型分类

Proceedings of the 2015 ACM International Symposium on Wearable Computers Pub Date : 2015-09-07 DOI: 10.1145/2802083.2802087

Peter Blank, Julian Hossbach, D. Schuldhaus, B. Eskofier

{"title":"Sensor-based stroke detection and stroke type classification in table tennis","authors":"Peter Blank, Julian Hossbach, D. Schuldhaus, B. Eskofier","doi":"10.1145/2802083.2802087","DOIUrl":"https://doi.org/10.1145/2802083.2802087","url":null,"abstract":"In this paper we present a sensor-based table tennis stroke detection and classification system. We attached inertial sensors to table tennis rackets and collected data of 8 different basic stroke types from 10 amateur and professional players. Firstly, single strokes were detected by a event detection algorithm. Secondly, features were computed and used as input for stroke type classification. Multiple classifiers were compared regarding classification rates and computational effort. The overall sensitivity of the stroke detection was 95.7% and the best classifier reached a classification rate of 96.7%. Therefore, our presented approach is able to detect table tennis strokes in time-series data and to classify each stroke into correct stroke type categories. The system has the potential to be implemented as an embedded real-time application for other racket sports, to analyze training exercises and competitions, to present match statistics or to support the athletes' training progress. To our knowledge, this is the first paper that addresses a wearable support system for table tennis, and our future work aims at using the presented results to build a complete match analysis system for this sport.","PeriodicalId":372395,"journal":{"name":"Proceedings of the 2015 ACM International Symposium on Wearable Computers","volume":"25 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":"126598228","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: 66