{"title":"An Android-Based Mobile 6LoWPAN Network Architecture for Pervasive Healthcare","authors":"K. Wang, Shivank Dubey, A. Rajamohan, Z. Salcic","doi":"10.1109/IE.2015.15","DOIUrl":"https://doi.org/10.1109/IE.2015.15","url":null,"abstract":"Embedded sensors are increasingly seen in modern mobile and wearable devices to support better user activities and vital signs monitoring. While more wireless sensing devices are becoming available, network connectivity and scalability remain the key obstacles in achieving seamless information flow and service provision as envisaged by the vision of the Internet of Things. In this paper, a mobile 6LoWPAN network architecture is proposed by engaging Android-based mobile devices as edge routers to address the connectivity and scalability issues with the wider IP network for pervasive healthcare applications. The 6LoWPAN-based wireless sensor network, together with the Android edge router, form a mobile sub-network that allows seamless information exchange with the Internet and improves service availability for each end user. The proposed architecture includes a customised bare-metal 6LoWPAN protocol designed for ultra low power wireless sensor nodes for long term vital signs monitoring and integrated with Android devices for mobile internet access. The proposed network architecture is demonstrated and validated on a pervasive healthcare monitoring application.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"30 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":"133198228","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}
{"title":"Activity Support Framework for People with Dementia Based on Markov Decision Process","authors":"Tomi Sarni, P. Pulli","doi":"10.1109/IE.2015.12","DOIUrl":"https://doi.org/10.1109/IE.2015.12","url":null,"abstract":"Ambient assisted living technologies (AALT) are considered to offer means for reducing health care burden to societies by prolonging capability for independent living and by improving the quality of life for elderly persons suffering from dementia and their caregivers. This research presents a novel activity support framework for transforming cooking activities in to workflow process models optimized for people suffering from dementia. This is achieved by first splitting a cooking activity in to tasks composed of set of basic actions. Due to nature of dementia, actions taken by a care recipient can be considered to be stochastic. This research presents a model of a care recipient suffering from dementia based on data from literature. The model contains probability distribution of possible outcomes mapped to available basic actions in a cooking activity. This allows the use of Markov decision process (MDP) to determine optimal sequence of actions to perform a cooking activity. The resulting process models can be used as set of instructions by a prompting system or as a process model for a belief monitor type of AALTs. The designed framework was tested by comparing manually constructed and verified process model to one produced by a test computer program. Further research is needed to refine the care recipient model, study transforming cooking recipes into cooking activity models and to validate the framework in real-world settings.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"41 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":"125215494","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}
G. Hunter, J. Denholm-Price, Thomas Michel, John Yardley, David Fox
{"title":"Keeping Your Threads Untangled: An Intelligent System for Semi-automatically Organising Corporate Messages by Content","authors":"G. Hunter, J. Denholm-Price, Thomas Michel, John Yardley, David Fox","doi":"10.1109/IE.2015.35","DOIUrl":"https://doi.org/10.1109/IE.2015.35","url":null,"abstract":"This paper describes an approach, based on a system, called Threads, which is already in commercial use, to automatically synchronise sets of digital messages (e.g. e-mail and digitised phone calls) with particular projects, in which context the messages were created. Based on the authors' experience that it is generally easier to browse projects of interest than to search masses of messages, authorised users can extract information from far more messages, far quicker than they might otherwise do by trying to guess suitable search terms. The novelty described in this paper is a method for organising such messages automatically and intelligently according to statistics relating to less common words (called \"keywords\") which they contain. Initial experiments using this method are described, using both e-mail data from the parent company, and on the publicly available ENRON dataset of e-mails and phone calls. These preliminary results are interesting, but suggest the method as currently implemented is only suitable for semi-automatic classification, but not yet for fully automated allocations to projects.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"123 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":"127063413","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}
{"title":"A Generic Approach for Energy Efficient Context Recognition Using Smart Phones","authors":"Muhammad Umer Iqbal, M. Handte, P. Marrón","doi":"10.1109/IE.2015.16","DOIUrl":"https://doi.org/10.1109/IE.2015.16","url":null,"abstract":"Intelligent environments rely on context information for providing services to their users. Among various existing platforms for context recognition, smart phones are one of the most widely used. However, despite numerous advantages, smart phones exhibit limited energy resources. To mitigate this there exist approaches for energy efficient context recognition for smart phones but these approaches are usually fine-tuned for specific types of context. As a result their applicability to other context types is limited. In this paper, we present an energy efficient context recognition system for smart phones which provides generalized applicability of four generic energy efficiency techniques which have been described in the literature and applied to location sensing using mobile phones. These four techniques as termed by authors include Suppression, Substitution, Adaptation and Piggybacking. Our system provides their generalized applicability by modelling context recognition applications using a state machine abstraction. Consequently the resulting applications are structured as combinations of states and transitions. To aid rapid prototyping our system is equipped with an off-line development tool which allows the creation and (code) generation of state machines using a graphical editor. We evaluate our system by creating a test application. Using a precise hardware set up, we perform energy measurements to demonstrate the energy savings of these different techniques.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"394 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":"131665408","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}
{"title":"A Comparison of Predictive Algorithms for Failure Prevention in Smart Environment Applications","authors":"E. Warriach, T. Ozcelebi, J. Lukkien","doi":"10.1109/IE.2015.13","DOIUrl":"https://doi.org/10.1109/IE.2015.13","url":null,"abstract":"The functional correctness and the performance of smart environment applications can be hampered by faults. Fault tolerance solutions aim to achieve graceful performance degradation in the presence of faults, ideally without leading to application failures. This is a reactive approach and, by itself, gives little flexibility and time for preventing potential failures. We argue that the key step in achieving high dependability is to predict faults before they occur. We propose a proactive fault prevention framework, which predicts potential low-level hardware, software and network faults and tries to prevent them via dynamic adaptation. Many statistical fault prediction algorithms have been proposed in the literature. In this paper, we evaluate and compare the performances of two fault prediction models, namely, multiple linear regression, and artificial neural networks by using them to predict the remaining useful life of a battery-powered wireless sensor network node. The results show that the proposed framework will provide better control over performance degradation of smart environment applications, and will increase reliability and availability, and reduce manual user interventions.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"1 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":"130088003","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}
{"title":"Smart Homes Design for People with Dementia","authors":"Mohsen Amiribesheli, A. Bouchachia","doi":"10.1109/IE.2015.33","DOIUrl":"https://doi.org/10.1109/IE.2015.33","url":null,"abstract":"In this paper, we present a user-centred approach for designing and developing smart homes for people with dementia. In contrast to most of the existing literature related to dementia, the present approach aims at tailoring the system to the specific needs of dementia using a scenario-based methodology. Scenarios are based on typical dementia symptoms which are collected from research literatures and validated by dementia caregivers. They portray the common behaviour of people with dementia. Because they explain real-world situations, scenarios are meant to generalise the requirements of smart homes for people with dementia. Hence, a top-down approach is followed to summarise the content of the scenarios into the essential requirements for smart home frameworks dedicated to monitoring people with dementia.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"859 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134062793","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}
{"title":"Multi-label Learning for Activity Recognition","authors":"Rahul Kumar, I. Qamar, J. Virdi, N. C. Krishnan","doi":"10.1109/IE.2015.32","DOIUrl":"https://doi.org/10.1109/IE.2015.32","url":null,"abstract":"Advances in pervasive and ubiquitous computing have resulted in the development of sensors that can be easily deployed in the natural habitat of a human to acquire activity related data. However, inferring meaningful activity information from sensor data is still a challenging problem. This paper addresses the problem of inferring activities that are simultaneously performed by multiple residents in a smart home or single resident performing multiple activities concurrently. The paper formulates this problem as learning multiple activity labels from a sequence of sensor data. It investigates the suitability of multi-label learning algorithms inspired by decision trees as a proposed solution to the problem. The results obtained from the experiments on four benchmarking multi-resident activity datasets clearly indicate the superiority of decision tree ensemble (random forests) based approaches for multi-label learning.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"46 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":"114530089","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}
Katja Rogers, Julian Frommel, Larissa Breier, Sinan Celik, Harry Kramer, S. Kreidel, Julia Brich, Valentin Riemer, C. Schrader
{"title":"Mobile Augmented Reality as an Orientation Aid: A Scavenger Hunt Prototype","authors":"Katja Rogers, Julian Frommel, Larissa Breier, Sinan Celik, Harry Kramer, S. Kreidel, Julia Brich, Valentin Riemer, C. Schrader","doi":"10.1109/IE.2015.37","DOIUrl":"https://doi.org/10.1109/IE.2015.37","url":null,"abstract":"Orientation in public environments is a critical skill for new arrivals, yet also one that is usually only learned gradually through trial and error. This paper suggests the use of pervasive augmented reality (AR) for the design of a serious game that teaches navigational skills in a public environment. Many AR scavenger hunt games confront players with new environments by default, however they rarely focus explicitly on teaching navigational skills. We propose a concept that utilises augmented reality techniques for increased immersion and motivation, while upholding the real-world sense of presence for an easy transfer of orientation skills to everyday life. For this purpose, we implemented a first prototypical serious game in the form of an AR scavenger hunt. A preliminary evaluation regarding its usability produced promising results. As such, the prototype constitutes a first proof of concept. In future iterations, it will be further developed as an adaptive AR serious game, and evaluated in respect to its efficacy in teaching orientation and navigation skills.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"21 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":"121020367","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}
{"title":"Activity Recognition Based on Streaming Sensor Data for Assisted Living in Smart Homes","authors":"Beichen Chen, Z. Fan, Fengming Cao","doi":"10.1109/IE.2015.25","DOIUrl":"https://doi.org/10.1109/IE.2015.25","url":null,"abstract":"This paper proposes an activity recognition method for streaming sensor data in smart homes. Experiments on real datasets have been carried out to show the effectiveness of the proposed approach. It has great potential for applications in e-health and assisted living.","PeriodicalId":228285,"journal":{"name":"2015 International Conference on Intelligent Environments","volume":"539 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":"121025301","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}
C. Goumopoulos, Nikos Kokkos, Christoforos V. Karachristos, A. Kameas
{"title":"Bridging the Gap between Virtual and Physical Classrooms to Enhance Distance Learning Experience","authors":"C. Goumopoulos, Nikos Kokkos, Christoforos V. Karachristos, A. Kameas","doi":"10.1109/IE.2015.23","DOIUrl":"https://doi.org/10.1109/IE.2015.23","url":null,"abstract":"In this paper we report on our current research and development work that aims to apply pervasive computing and context-aware technologies to enhance the teaching and learning experience in distance education environments. In order to achieve this goal we move from the 2-D user interfaces found in virtual class management systems to the ubiquitous 3-D environment of the classroom. A smart classroom prototype is presented which provides the necessary mechanisms for building context-aware services to enrich distance learning experience. The fusion of location tracking with activity recognition mechanisms allows to control the liveliness of the video stream transmitted to remote students in order to reduce the gap between physical and virtual classrooms.","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":"124972680","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}