2015 International Conference on Intelligent Environments最新文献

GPS Trace Mining for Discovering Behaviour Patterns 用于发现行为模式的GPS跟踪挖掘

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.17

Weijun Qiu, A. Bandara

{"title":"GPS Trace Mining for Discovering Behaviour Patterns","authors":"Weijun Qiu, A. Bandara","doi":"10.1109/IE.2015.17","DOIUrl":"https://doi.org/10.1109/IE.2015.17","url":null,"abstract":"There are diverse sensor applications built into different personal devices, which have the ability to record data related to various aspects of the user. With the ever increasing popularity and lowering costs of such personal devices such as Smart Phones, collecting data from the mobile sensors available in these devices becomes feasible. A wealth of information can be gleaned from such data collected from these sensors which reveals various aspects of the individual's behaviour and activity. Existing approaches for analyzing such data mainly focuses on inferring semantic context and detecting associations from such data. For example, GPS enabled devices allow users to record their movements in the form of spatio-temporal stream points, and meaningful information can be extracted based on different research objectives. In this paper, we have investigated a computation framework in order to identify users' activity categories and their event's associations from GPS trajectory data. This framework has several progressive stages and is designed based on different approaches in each stage, which will facilitate to analyse people's everyday lifestyles that are related to outdoor behaviours. Moreover, we have proposed an approach to improve the performance of the semantic annotation process of this framework, by combining different sources of mobile sensor data (i.e. GPS and audio data). The proposed framework and approaches have been validated on actual data sets which include the Microsoft's Geolife data set and a data set collected by ourselves.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122917664","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

OIoT: A Platform to Manage Opportunistic IoT Communities OIoT:一个管理机会主义物联网社区的平台

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.22

David Andres Lopez Nuevo, D. Royo, Esunly Medina, Roc Meseguer

引用次数: 9

Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis 面部表情分析中刚性与非刚性动作的分离

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.38

Georg Layher, Stephan Tschechne, R. Niese, A. Al-Hamadi, H. Neumann

{"title":"Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis","authors":"Georg Layher, Stephan Tschechne, R. Niese, A. Al-Hamadi, H. Neumann","doi":"10.1109/IE.2015.38","DOIUrl":"https://doi.org/10.1109/IE.2015.38","url":null,"abstract":"In intelligent environments, computer systems not solely serve as passive input devices waiting for user interaction but actively analyze their environment and adapt their behaviour according to changes in environmental parameters. One essential ability to achieve this goal is to analyze the mood, emotions and dispositions a user experiences while interacting with such intelligent systems. Features allowing to infer such parameters can be extracted from auditive, as well as visual sensory input streams. For the visual feature domain, in particular facial expressions are known to contain rich information about a user's emotional state and can be detected by using either static and/or dynamic image features. During interaction facial expressions are rarely performed in isolation, but most of the time co-occur with movements of the head. Thus, optical flow based facial features are often compromised by additional motions. Parts of the optical flow may be caused by rigid head motions, while other parts reflect deformations resulting from facial expressivity (non-rigid motions). In this work, we propose the first steps towards an optical flow based separation of rigid head motions from non-rigid motions caused by facial expressions. We suggest that after their separation, both, head movements and facial expressions can be used as a basis for the recognition of a user's emotions and dispositions and thus allow a technical system to effectively adapt to the user's state.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133085212","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: 0

Automating the Generation of Privacy Policies for Context-Sharing Applications 自动生成上下文共享应用程序的隐私策略

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.18

Wolfgang Apolinarski, M. Handte, P. Marrón

{"title":"Automating the Generation of Privacy Policies for Context-Sharing Applications","authors":"Wolfgang Apolinarski, M. Handte, P. Marrón","doi":"10.1109/IE.2015.18","DOIUrl":"https://doi.org/10.1109/IE.2015.18","url":null,"abstract":"Enabling the automated recognition and sharing of a user's context is a primary motivation for many pervasive computing applications. In the past, a significant amount of research has been focusing on the aspect of effective and efficient recognition. Yet, when context is shared with others, the resulting disclosure of personal information can have undesirable privacy implications. A common solution to this problem is the manual creation of an application-specific privacy policy that defines which information may be shared with whom. However, as the number of applications increases, such a manual approach becomes increasingly cumbersome and over time, it is likely to lead to incomplete or even inconsistent policies. In this paper, we discuss how a privacy policy can be derived automatically by analyzing the user's sharing behaviour when using online collaboration tools. Our approach retrieves shared content and the associated sharing settings, detects context types and automatically derives a privacy policy that reflects the user's past sharing behaviour. To validate our approach, we have implemented it as an extensible software library for the Android platform and we have developed plug-ins for two popular collaboration tools, namely Google Calendar and Facebook.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123152060","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: 5

SparkXS: Efficient Access Control for Intelligent and Large-Scale Streaming Data Applications SparkXS:智能和大规模流数据应用的高效访问控制

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.21

D. Preuveneers, W. Joosen

引用次数: 5

SmartWalker: Towards an Intelligent Robotic Walker for the Elderly 智能步行者:面向老年人的智能机器人步行者

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.10

Jiwon Shin, David Itten, A. Rusakov, B. Meyer

引用次数: 8

Optimization of Decision-Making in Artificial Life Model Based on Fuzzy Cognitive Maps 基于模糊认知地图的人工生命模型决策优化

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.28

Tomáš Nacházel

引用次数: 9

Automatic Detection of Perceived Stress in Campus Students Using Smartphones 智能手机对大学生压力感知的自动检测

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.27

M. Gjoreski, H. Gjoreski, M. Luštrek, M. Gams

引用次数: 61

Development of an Intelligent Fisheye Camera 智能鱼眼相机的研制

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.34

M. Bassford, B. Painter

{"title":"Development of an Intelligent Fisheye Camera","authors":"M. Bassford, B. Painter","doi":"10.1109/IE.2015.34","DOIUrl":"https://doi.org/10.1109/IE.2015.34","url":null,"abstract":"Intelligent cameras, or smart cameras as they are often referred to, appear ubiquitously in our everyday lives, both at home and at work. In our pockets, bags, cars and homes we are now experiencing and interacting with a new generation of smart cameras that far surpass the ability to merely capture images - they can provide high-level descriptions of the environment and analyse what they see. Recently, researchers at De Montfort University have developed a low-cost, low-power intelligent camera system that incorporates a 2.8\" touchscreen and a fisheye lens, is capable of capturing visual environment data, performing algorithms to extract metrics and wirelessly transmit them to the cloud for further analysis. Having the advantage of a short focal length and wide field of view, our fisheye camera system can provide information for a multidisciplinary audience including image processing, camera technology and embedded systems, and support a wide variety of applications such as surveillance, home monitoring, motion analysis, facial identification and intelligent transportation systems. This paper describes a first generation prototype camera system that gathers luminance data by capturing High Dynamic Range (HDR) imagery that is comparable to the data acquired with costly and cumbersome research equipment. The paper also explores the requirements for, benefits of, and challenges faced when developing an even smarter intelligent camera system.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365937","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: 2

SiAM - Situation-Adaptive Multimodal Interaction for Innovative Mobility Concepts of the Future SiAM -面向未来创新移动概念的情境自适应多模式交互

2015 International Conference on Intelligent Environments Pub Date : 2015-07-15 DOI: 10.1109/IE.2015.39

Monika Mitrevska, M. Moniri, Robert Neßelrath, Tim Schwartz, M. Feld, Yannick Körber, Matthieu Deru, Christian A. Müller

引用次数: 7