Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing最新文献_第7页

An RF doormat for tracking people's room locations 用来追踪房间位置的射频门垫

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493514

Juhi Ranjan, Yu Yao, K. Whitehouse

引用次数: 35

Session details: Location privacy 会话详细信息:位置隐私

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/3254797

Frank Dürr

引用次数: 0

Headio: zero-configured heading acquisition for indoor mobile devices through multimodal context sensing 头部:通过多模态上下文感知，为室内移动设备进行零配置头部采集

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493434

Zheng Sun, Shijia Pan, Yu-Chi Su, Pei Zhang

{"title":"Headio: zero-configured heading acquisition for indoor mobile devices through multimodal context sensing","authors":"Zheng Sun, Shijia Pan, Yu-Chi Su, Pei Zhang","doi":"10.1145/2493432.2493434","DOIUrl":"https://doi.org/10.1145/2493432.2493434","url":null,"abstract":"Heading information becomes widely used in ubiquitous computing applications for mobile devices. Digital magnetometers, also known as geomagnetic field sensors, provide absolute device headings relative to the earth's magnetic north. However, magnetometer readings are prone to significant errors in indoor environments due to the existence of magnetic interferences, such as from printers, walls, or metallic shelves. These errors adversely affect the performance and quality of user experience of the applications requiring device headings. In this paper, we propose Headio, a novel approach to provide reliable device headings in indoor environments. Headio achieves this by aggregating ceiling images of an indoor environment, and by using computer vision-based pattern detection techniques to provide directional references. To achieve zero-configured and energy-efficient heading sensing, Headio also utilizes multimodal sensing techniques to dynamically schedule sensing tasks. To fully evaluate the system, we implemented Headio on both Android and iOS mobile platforms, and performed comprehensive experiments in both small-scale controlled and large-scale public indoor environments. Evaluation results show that Headio constantly provides accurate heading detection performance in diverse situations, achieving better than 1 degree average heading accuracy, up to 33X improvement over existing techniques.","PeriodicalId":262104,"journal":{"name":"Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132420586","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: 23

Your reactions suggest you liked the movie: automatic content rating via reaction sensing 你的反应表明你喜欢这部电影:通过反应感应自动内容评级

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493440

Xuan Bao, Songchun Fan, A. Varshavsky, Kevin A. Li, Romit Roy Choudhury

引用次数: 44

Session details: At work 会话细节:在工作中

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/3254779

A. Dey

引用次数: 0

Towards more natural digital content manipulation via user freehand gestural interaction in a living room 通过用户在客厅的徒手手势交互，实现更自然的数字内容操作

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493480

Sang-Su Lee, Jeonghun Chae, Hyunjeong Kim, Youn-kyung Lim, Kun-Pyo Lee

引用次数: 42

Session details: Context sensing 会话细节:上下文感知

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/3254778

T. Ploetz

引用次数: 0

NLify: lightweight spoken natural language interfaces via exhaustive paraphrasing NLify:通过详尽解释的轻量级口头自然语言接口

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493458

Seungyeop Han, Matthai Philipose, Y. Ju

引用次数: 10

Ambient recommendations in the pop-up shop 弹出式商店中的环境推荐

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2494525

Gonzalo Garcia-Perate, N. Dalton, R. Dalton, Duncan Wilson

引用次数: 12

If you see something, swipe towards it: crowdsourced event localization using smartphones 如果你看到了什么，就朝它滑过去:使用智能手机进行众包活动本地化

Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing Pub Date : 2013-09-08 DOI: 10.1145/2493432.2493455

W. Ouyang, Animesh Srivastava, P. Prabahar, Romit Roy Choudhury, Merideth A. Addicott, F. J. McClernon

{"title":"If you see something, swipe towards it: crowdsourced event localization using smartphones","authors":"W. Ouyang, Animesh Srivastava, P. Prabahar, Romit Roy Choudhury, Merideth A. Addicott, F. J. McClernon","doi":"10.1145/2493432.2493455","DOIUrl":"https://doi.org/10.1145/2493432.2493455","url":null,"abstract":"This paper presents iSee, a crowdsourced approach to detecting and localizing events in outdoor environments. Upon spotting an event, an iSee user only needs to swipe on her smartphone's touchscreen in the direction of the event. These swiping directions are often inaccurate and so are the compass measurements. Moreover, the swipes do not encode any notion of how far the event is located from the user, neither is the GPS location of the user accurate. Furthermore, multiple events may occur simultaneously and users do not explicitly indicate which events they are swiping towards. Nonetheless, as more users start contributing data, we show that our proposed system is able to quickly detect and estimate the locations of the events. We have implemented iSee on Android phones and have experimented in real-world settings by planting virtual \"events\" in our campus and asking volunteers to swipe on seeing one. Results show that iSee performs appreciably better than established triangulation and clustering-based approaches, in terms of localization accuracy, detection coverage, and robustness to sensor noise.","PeriodicalId":262104,"journal":{"name":"Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122477935","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: 49