2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)最新文献_第2页

AutoGait: A mobile platform that accurately estimates the distance walked auto步态:一个移动平台，可以准确估计步行距离

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466984

Dae-ki Cho, Min Y. Mun, U. Lee, W. Kaiser, M. Gerla

{"title":"AutoGait: A mobile platform that accurately estimates the distance walked","authors":"Dae-ki Cho, Min Y. Mun, U. Lee, W. Kaiser, M. Gerla","doi":"10.1109/PERCOM.2010.5466984","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466984","url":null,"abstract":"AutoGait is a mobile platform that autonomously discovers a user's walking profile and accurately estimates the distance walked. The discovery is made by utilizing the GPS in the user's mobile device when the user is walking outdoors. This profile can then be used both indoors and outdoors to estimate the distance walked. To model the person's walking profile, we take advantage of the fact that a linear relationship exists between step frequency and stride length, which is unique to individuals and applies to everyone regardless of age. Autonomous calibration invisible to users allows the system to maintain a high level of accuracy under changing conditions. AutoGait can be integrated into any pedometer or indoor navigation software on handheld devices as long as they are equipped with GPS. The main contribution of this paper is two fold: (1) we propose an auto-calibration method that trains a person's walking profile by effectively processing noisy GPS readings, and (2) we build a prototype system and validate its performance by performing extensive experiments. Our experimental results confirm that the proposed auto-calibration method can accurately estimate a person's walking profile and thus significantly reduce the error rate.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126616184","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: 65

MediAlly: A provenance-aware remote health monitoring middleware MediAlly:支持来源的远程运行状况监视中间件

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466985

A. Chowdhury, B. Falchuk, Archan Misra

引用次数: 43

Collaborative real-time speaker identification for wearable systems 可穿戴系统的协同实时说话人识别

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466976

M. Rossi, O. Amft, Martin Kusserow, G. Tröster

引用次数: 8

Negotiate power and performance in the reality of RFID systems 协商功率和性能在RFID系统的现实

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466989

Xunteng Xu, Lin Gu, Jianping Wang, G. Xing

{"title":"Negotiate power and performance in the reality of RFID systems","authors":"Xunteng Xu, Lin Gu, Jianping Wang, G. Xing","doi":"10.1109/PERCOM.2010.5466989","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466989","url":null,"abstract":"Recent years have witnessed the wide adoption of the RFID technology in many important application domains including logistics, inventory, retailing, public transportation, and security. Though RFID tags (transponders) can be passive, the high power consumption of RFID readers (interrogators) has become a critical issue as handheld and mobile readers are increasingly available in pervasive computing environments. Moreover, high transmission power aggravates interference, complicating the deployment and operation of RFID systems. In this paper, we present an energy-efficient RFID inventory algorithm called Automatic Power Stepping (APS). The design of APS is based on extensive empirical study on passive tags, and takes into consideration several important details such as tag response states and variable slot lengths. APS dynamically estimates the number of tags to be read, incrementally adjusts power level to use sufficient but not excessive power for communication, and consequently reduces both the energy consumption for reading a set of tags and the possibility of collisions. We design APS to be compatible with the current Class-1 Generation-2 RFID standards and hence a reader running APS can interact with existing commercial tags without modification. We have implemented APS both on the NI RFID testing platform and in a high-fidelity simulator. The evaluation shows that APS can save more than 60% energy used by RFID readers.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114878135","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: 30

Capture, recognition, and visualization of human semantic interactions in meetings 会议中人类语义交互的捕获、识别和可视化

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466987

Zhiwen Yu, Zhiyong Yu, H. Aoyama, Motoyuki Ozeki, Yuichi Nakamura

引用次数: 42

Ad-hoc voice-based group communication 基于语音的群组通信

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466977

Lu Han, Stephen Smaldone, P. Shankar, James Boyce, L. Iftode

{"title":"Ad-hoc voice-based group communication","authors":"Lu Han, Stephen Smaldone, P. Shankar, James Boyce, L. Iftode","doi":"10.1109/PERCOM.2010.5466977","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466977","url":null,"abstract":"People waste many hours driving each day. Although unavoidable, this time can be very boring to motorists. Similar to people taking mass transit who often pass the time socializing with those around them, motorists could benefit from social interactions if they were given broader social opportunities. Unfortunately, existing Multiparty Voice Communication (MVC) systems do not scale to large numbers of users and do not provide adequate access controls. We present RoadSpeak, a scalable MVC system that allows motorists to automatically join Voice Chat Groups (VCGs) along popular roadways. RoadSpeak achieves interruption-free communication through the use of voice chat message buffering, flow control and in-order delivery of voice messages to participants. We have implemented a RoadSpeak prototype on Nokia N95 smart phones using 3G cellular networking for voice message transfer. We have also built an MVC simulator to perform large-scale simulations that compare RoadSpeak with existing MVC systems. The results of our evaluation prove the feasibility of RoadSpeak and demonstrate that it performs similarly to a traditional MVC systems while supporting substantially larger groups of users.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121459007","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

Opportunistic web access via WLAN hotspots 通过WLAN热点机会访问网络

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466997

M. Pitkänen, Teemu Kärkkäinen, J. Ott

引用次数: 40

An event-based approach to multi-modal activity modeling and recognition 基于事件的多模态活动建模和识别方法

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466986

M. Pijl, S. Par, Caifeng Shan

{"title":"An event-based approach to multi-modal activity modeling and recognition","authors":"M. Pijl, S. Par, Caifeng Shan","doi":"10.1109/PERCOM.2010.5466986","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466986","url":null,"abstract":"The topic of human activity modeling and recognition still provides many challenges, despite receiving considerable attention. These challenges include the large number of sensors often required for accurate activity recognition, and the need for user-specific training samples. In this paper, an approach is presented for recognition of activities of daily living (ADL) using only a single camera and microphone as sensors. Scene analysis techniques are used to classify audio and video events, which are used to model a set of activities using hidden Markov models. Data was obtained through recordings of 8 participants. The events generated by scene analysis algorithms are compared to events obtained through manual annotation. In addition, several model parameter estimation techniques are compared. In a number of experiments, it is shown that if activities are fully observed these models yield a class accuracy of 97% on annotated data, and 94% on scene analysis data. Using a sliding window approach to classify activities in progress yields a class accuracy of 79% on annotated data, and 73% on scene analysis data. It is also shown that a multi-modal approach yields superior results compared to either individual modality on scene analysis data. Finally, it can be concluded the created models perform well even across participants.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123082428","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

Pervasive computing: What next? 普适计算:下一步是什么?

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466980

D. Tavangarian

引用次数: 1

Tuning to your position: FM radio based indoor localization with spontaneous recalibration 调谐到您的位置:FM收音机基于室内定位与自发重新校准

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom) Pub Date : 2010-05-20 DOI: 10.1109/PERCOM.2010.5466981

A. Matic, Andrei Papliatseyeu, V. Osmani, O. Mayora-Ibarra

{"title":"Tuning to your position: FM radio based indoor localization with spontaneous recalibration","authors":"A. Matic, Andrei Papliatseyeu, V. Osmani, O. Mayora-Ibarra","doi":"10.1109/PERCOM.2010.5466981","DOIUrl":"https://doi.org/10.1109/PERCOM.2010.5466981","url":null,"abstract":"Position of mobile users has become highly important information in pervasive computing environments. Indoor localization systems based on Wi-Fi signal strength fingerprinting techniques are widely used in office buildings with existing Wi-Fi infrastructure. Our previous work has proposed a solution based on exploitation of FM signal to deal with environments not covered with Wi-Fi signal or environments with only single Wi-Fi access point. However, a general problem of indoor wireless positioning systems pertains to signal degradation due to the environmental factors affecting signal propagation. Therefore, in order to maintain a desirable level of localization accuracy, it becomes necessary to perform periodic calibration of the system, which is either time consuming or requires dedicated equipment and expert knowledge. In this paper, we present a comparison of FM versus Wi-Fi positioning systems and a combination of both systems, exploiting their strengths for indoors positioning. Finally, we address the problem of recalibration by introducing a novel concept of spontaneous recalibration and demonstrate it using the FM localization system.","PeriodicalId":207774,"journal":{"name":"2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935596","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: 85