CASEMANS '11最新文献

Estimation of user conversational states based on combination of user actions and feature normalization 基于用户动作和特征归一化的用户会话状态估计

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036152

H. Yamazoe, Y. Koyama, Tomoko Yonezawa, Shinji Abe, K. Mase

引用次数: 2

Why is context-aware computing less successful? 为什么上下文感知计算不那么成功?

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036147

W. Dargie

引用次数: 4

Super-Ego: a framework for privacy-sensitive bounded context-awareness 超自我:隐私敏感的有界上下文感知框架

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036151

Eran Toch

{"title":"Super-Ego: a framework for privacy-sensitive bounded context-awareness","authors":"Eran Toch","doi":"10.1145/2036146.2036151","DOIUrl":"https://doi.org/10.1145/2036146.2036151","url":null,"abstract":"Context-awareness enables applications to better streamline and personalize their service according to the current situation of the user. However, the user's information used by context-aware applications, such as the user's current location, is inherently private and sensitive. Using this information without proper control by the user can lead to privacy risks and might harm the trust users have in the context-aware application. To address this tradeoff between the effectiveness and privacy, we present Super-Ego, a framework for at-hoc management of access to location information in ubiq-uitous environment. Using this framework, we model and evaluate different decision strategies for managing mobile application's access to location context. The strategies we test are based on automatic algorithms that use knowledge about historical disclosure of locations by large number of users, with the optional delegation of some of the decisions to the user. We evaluate the system empirically, using people's detailed location trails from public resources, augmented with simulated data about sharing behavior. Our results reflect on an interesting tradeoff between automation and accuracy, which can enable the design of efficient and usable approaches to privacy-sensitive context-aware applications.","PeriodicalId":391842,"journal":{"name":"CASEMANS '11","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131209892","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

Context-aware fall detection using a Bayesian network 使用贝叶斯网络的上下文感知跌倒检测

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036149

Mi Zhang, A. Sawchuk

{"title":"Context-aware fall detection using a Bayesian network","authors":"Mi Zhang, A. Sawchuk","doi":"10.1145/2036146.2036149","DOIUrl":"https://doi.org/10.1145/2036146.2036149","url":null,"abstract":"Human activity recognition is regarded as one of the most important topics in ubiquitous computing. In this paper, we focus on recognizing falls. Falls are a leading cause of death among elderly people. Most existing fall detection techniques focus on studying isolated fall motion under restricted, clearly defined conditions, and thus suffer from a relatively high false positive rate induced by many other activities that resemble a fall. In this paper, we present an integrated fall detection framework that incorporates isolated fall detection algorithms with context information using a Bayesian network. The context information can include a person's age, personal health history, physiological measurements (such as respiration, blood pressure, heart rate, etc.), physical activity level and location. These additional sources of information are complement inputs to our framework to improve decision accuracy in recognizing activities such as a fall. A Bayesian network is constructed to structure the probabilistic dependencies between isolated fall detection result and various contextual sensor readings, and perform inference on the likelihood of a fall in a given context. Preliminary experimental results demonstrate that context information can play a significant role in improving fall detection accuracy and reducing both false negative and false positive rates. We also demonstrate that our probabilistic Bayesian model can produce informative inference results even when partial contextual information is observed.","PeriodicalId":391842,"journal":{"name":"CASEMANS '11","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772545","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: 11

Context-based security: state of the art, open research topics and a case study 基于上下文的安全:现状，开放的研究课题和案例研究

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036150

S. Sigg

引用次数: 9

CA-UCON: a context-aware usage control model CA-UCON:一个上下文感知的使用控制模型

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036153

Abulgader Almutairi, F. Siewe

{"title":"CA-UCON: a context-aware usage control model","authors":"Abulgader Almutairi, F. Siewe","doi":"10.1145/2036146.2036153","DOIUrl":"https://doi.org/10.1145/2036146.2036153","url":null,"abstract":"Usage CONtrol (UCON) model is the latest major enhancement of the traditional access control models which enables mutability of subject and object attributes, and continuity of control on usage of resources. In UCON, access permission decision is based on three factors: authorisations, obligations and conditions. While authorisations and obligations are requirements that must be fulfilled by the subject and the object, conditions are subject and object independent requirements that must be satisfied by the environment. As a consequence, access permission may be revoked (and the access stopped) as a result of changes in the environment regardless of whether the authorisations and obligations re-quirements are met. This constitutes a major shortcoming of the UCON model in pervasive computing systems which constantly strive to adapt to environmental changes so as to minimise disruptions to the user. To overcome this limitation, this paper proposes a Context-Aware Usage CONtrol (CA-UCON) model which extends the traditional UCON model to enable adaptation to environmental changes in the aim of preserving continuity of access. When the authori-sations and obligations requirements are met by the subject and the object, and the conditions requirements fail due to changes in the environment or the system context, CA-UCON model triggers specific actions to adapt to the new situation. Besides the data protection. CA-UCON model so enhances the quality of services, striving to keep explicit interactions with the user at a minimum.","PeriodicalId":391842,"journal":{"name":"CASEMANS '11","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124497433","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: 15

Privacy protected life-context-aware alert by simplified sound spectrogram from microphone sensor 通过简化麦克风传感器的声谱图来保护隐私的生活环境感知警报

CASEMANS '11 Pub Date : 2011-09-17 DOI: 10.1145/2036146.2036148

Tomoko Yonezawa, Naoki Okamoto, H. Yamazoe, Shinji Abe, F. Hattori, N. Hagita

引用次数: 6