Martin C. Henson, James Dooley, A. Al-Ghamdi, Luke Whittington
{"title":"Towards Simple and Effective Formal Methods for Intelligent Environments","authors":"Martin C. Henson, James Dooley, A. Al-Ghamdi, Luke Whittington","doi":"10.1109/IE.2012.26","DOIUrl":"https://doi.org/10.1109/IE.2012.26","url":null,"abstract":"In this paper we motivate and illustrate the use of bigraphs as a formal framework and methodology for the description, design and analysis of intelligent environment systems. Through a series of examples, we provide an overview of bigraphs, their composition, their evolution under reaction rules, and their refinement. We argue that bigraphs offer several advantages: first, they are intuitive and lie close to the topic of investigation, second, they are relatively simple to understand and deploy (in contrast to the systems they may analyse), third, they offer a means to tame complexity through multiple description at different levels of abstraction, fourth, and finally, the system itself can be usefully used without having to engage with its mathematical foundations.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501691","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":"Personalized In-Vehicle Information Systems: Building an Application Infrastructure for Smart Cars in Smart Spaces","authors":"M. Moniri, M. Feld, Christian A. Müller","doi":"10.1109/IE.2012.40","DOIUrl":"https://doi.org/10.1109/IE.2012.40","url":null,"abstract":"Although intelligent components in modern cars help to contribute to safe mobility, they lack important Smart Environment characteristics like personalization. Moreover, today's in-vehicle infotainment systems do not offer any interaction possibility between the passenger and the visible environment around the car. In this paper we combine several technologies and propose an approach on personalized user interaction in urban environments. We present a showcase that points out the interplay of personalized in-vehicle infotainment system and interaction with visible outside environment.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126444390","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}
S. Dernbach, Barnan Das, N. C. Krishnan, Brian L. Thomas, D. Cook
{"title":"Simple and Complex Activity Recognition through Smart Phones","authors":"S. Dernbach, Barnan Das, N. C. Krishnan, Brian L. Thomas, D. Cook","doi":"10.1109/IE.2012.39","DOIUrl":"https://doi.org/10.1109/IE.2012.39","url":null,"abstract":"Due to an increased popularity of assistive healthcare technologies activity recognition has become one of the most widely studied problems in technology-driven assistive healthcare domain. Current approaches for smart-phone based activity recognition focus only on simple activities such as locomotion. In this paper, in addition to recognizing simple activities, we investigate the ability to recognize complex activities, such as cooking, cleaning, etc. through a smart phone. Features extracted from the raw inertial sensor data of the smart phone corresponding to the user's activities, are used to train and test supervised machine learning algorithms. The results from the experiments conducted on ten participants indicate that, in isolation, while simple activities can be easily recognized, the performance of the prediction models on complex activities is poor. However, the prediction model is robust enough to recognize simple activities even in the presence of complex activities.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123764196","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}