Anastasios Vafeiadis, T. Vafeiadis, Stelios Zikos, S. Krinidis, K. Votis, Dimitrios Giakoumis, D. Ioannidis, D. Tzovaras, Liming Luke Chen, R. Hamzaoui
{"title":"Energy-based decision engine for household human activity recognition","authors":"Anastasios Vafeiadis, T. Vafeiadis, Stelios Zikos, S. Krinidis, K. Votis, Dimitrios Giakoumis, D. Ioannidis, D. Tzovaras, Liming Luke Chen, R. Hamzaoui","doi":"10.1109/PERCOMW.2018.8480314","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480314","url":null,"abstract":"We propose a framework for energy-based human activity recognition in a household environment. We apply machine learning techniques to infer the state of household appliances from their energy consumption data and use rule- based scenarios that exploit these states to detect human activity. Our decision engine achieved a 99.1% accuracy for real-world data collected in the kitchens of two smart homes.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132188138","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":"An Investigation of Vulnerabilities in Smart Connected Cameras","authors":"Joseph Bugeja, Desiree Jonsson, A. Jacobsson","doi":"10.1109/PERCOMW.2018.8480184","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480184","url":null,"abstract":"The Internet of Things is enabling innovative services promising added convenience and value in various domains such as the smart home. Increasingly, households, office environments and cities, are being fitted with smart camera systems aimed to enhance the security of citizens. At the same time, several systems being deployed suffer from weak security implementations. Recognizing this, and to understand the extent of this situation, in this study we perform a global vulnerability assessment using the Shodan search engine and the Common Vulnerabilities and Exposures database. This is done to detect smart connected cameras exposed on the Internet alongside their sensitive, potentially private, data being broadcasted. Furthermore, we discuss whether the discovered data can be used to compromise the safety and privacy of individuals, and identify some mitiga- tions that can be adopted. The results indicate that a significant number of smart cameras are indeed prone to diverse security and privacy vulnerabilities.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535498","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":"Context-aware Human Intent Inference for Improving Human Machine Cooperation","authors":"Xiang Zhang","doi":"10.1109/PERCOMW.2018.8480331","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480331","url":null,"abstract":"The ability of human beings to precisely recognize others intents is a significant mental activity in reasoning about actions, such as, what other people are doing and what they will do next. Recent research has revealed that human intents could be inferred by measuring human cognitive activities through heterogeneous body and brain sensors (e.g., sensors for detecting physiological signals like ECG, brain signals like EEG and IMU sensors like accelerometers and gyros etc.). In this proposal, we aim at developing a computational framework for enabling reliable and precise real-time human intent recognition by measuring human cognitive and physiological activities through the heterogeneous body and brain sensors for improving human machine interactions, and serving intentbased human activity prediction.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124868070","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}
Julien Cumin, G. Lefebvre, F. Ramparany, J. Crowley
{"title":"Inferring Availability for Communication in Smart Homes Using Context","authors":"Julien Cumin, G. Lefebvre, F. Ramparany, J. Crowley","doi":"10.1109/PERCOMW.2018.8480091","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480091","url":null,"abstract":"This paper presents a technique for inferring the availability of people to receive communications based on their current situation. This technique uses a context model that associates situations with learned preferences for communications. Situations are represented as a tuple composed of identity, time, place, activity, correspondent, and communication modality. A place-based activity recognition technique is used to recognize the current activity from sensor data. Availability for communications is learned from history of the occupant’s preferences of availability for each situation. The system is demonstrated using a dataset of availability preferences recorded from the occupant of an instrumented apartment over a period of 4 weeks. Performance of the system is compared under various assumptions of independence of availability from some of the context elements. The paper is completed with a discussion of how such techniques can be used to construct an intelligent communications assistant for smart home services.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125347243","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":"Towards Socially Assistive Robots for Elderly: An End-to-end Object Search Framework","authors":"Mohammad Reza Loghmani, T. Patten, M. Vincze","doi":"10.1109/PERCOMW.2018.8480279","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480279","url":null,"abstract":"The lack of technology integration in highly interdisciplinary fields such as robotics and ambient assisted living (AAL) is preventing the diffusion of automated solutions for elderly care at home. This claim holds for the task of object search with a socially assistive robot as well, where fragmented self-contained technologies are not related to a high-level framework. In this paper, we present an end-to-end, modular framework to fulfill the object search task with a mobile robot that takes into account the needs of older users. In particular, we describe the modules composing the task and their interconnections, with special attention to the interaction with the user. Finally, we indicate the existing works that can be used to implement the different functionalities to boost the deployment of this technology and improve the autonomy of senior citizens in their own homes.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127744444","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":"Enabling adaptive interactions to leverage interventions for people with mild cognitive impairments","authors":"N. Liappas, M. Cabrera-Umpiérrez","doi":"10.1109/PERCOMW.2018.8480274","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480274","url":null,"abstract":"Dementia is a progressive degenerative brain syndrome that involves memory impairment in older adults caused by damage to brain cells and their connections. One promising tool that has raised from the non pharmacological interventions and is currently being researched and adopted by the researchers for the treatment of cognitive deficits is Virtual Reality (VR). This paper presents a research project related to VR solutions for people with cognitive impairments, its objectives, plan, and scientific contributions.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132912234","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. Tran, Qing Zhang, Vanessa Smallbon, M. Karunanithi
{"title":"Multi-Resident Activity Monitoring in Smart Homes: A Case Study","authors":"S. Tran, Qing Zhang, Vanessa Smallbon, M. Karunanithi","doi":"10.1109/PERCOMW.2018.8480132","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480132","url":null,"abstract":"This paper demonstrates a system that can turn a normal house to a smart house for daily activity monitoring with the use of ambient sensors. We show a proof of concept which includes a method of annotation using voice recording and deep learning technique for automatic recognition. Our multi-resident activity recognition system (MRAR) is designed to support multiple occupants in a house with minimum impact on their living styles. We evaluate the system in a real house lived by a family of three. The experimental results show that it is promising to develop a smart home system for multiple residents which is portable and easy to deploy.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132183325","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":"Evaluating Retailers in a Smart-buying Environment using Smart City Infrastructures","authors":"Dimitrios Amaxilatis, K. Giannakopoulou","doi":"10.1109/PERCOMW.2018.8480304","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480304","url":null,"abstract":"In modern cities, most citizens are interested in buying from e-shops or mostly buy from large shopping brands. This is a challenge for small and medium-sized retailers, who cannot afford to maintain IT infrastructures and skills. The ongoing R&D project SMARTBUY, tries to close this gap by providing a platform for small and medium-sized retailers to become the place where they can easily make their products and promotions visible online for local audiences, along with a mobile application for customers. An important issue in this context is the evaluation of the retailers. In this work, we introduce a new evaluation application for assessing the quality of the retailer services. Customers have the chance to rate the behavior and the offers that the retailers provide to them. This evaluation service is based on the SMARTBUY platform and is developed upon the OrganiCity Experimentation Platform. The evaluation application is a novel approach to generate knowledge for the retailer shops inside a future city using both data from open city datasets as well as feedback from citizens. Such an application is deemed useful to both customers, to identify retailers with best offers and services, and retailers as an incentive to improve their services.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123656374","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}
H. Malekmohamadi, Armaghan Moemeni, A. Orun, J. Purohit
{"title":"Low-Cost Automatic Ambient Assisted Living System","authors":"H. Malekmohamadi, Armaghan Moemeni, A. Orun, J. Purohit","doi":"10.1109/PERCOMW.2018.8480390","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480390","url":null,"abstract":"The recent increase in ageing population in countries around the world has brought a lot of attention toward research and development of ambient assisted living (AAL) systems. These systems should be inexpensive to be installed in elderly homes, protecting their privacy and more importantly being non-invasive and smart. In this paper, we introduce an inexpensive system that utilises off-the-shelf sensor to grab RGB-D data. This data is then fed into different learning algorithms for classification different activity types. We achieve a very good success rate (99.9%) for human activity recognition (HAR) with the help of light-weighted and fast random forests (RF).","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131704970","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}
Atieh Mahroo, Daniele Spoladore, E. G. Caldarola, G. Modoni, M. Sacco
{"title":"Enabling the Smart Home Through a Semantic-Based Context-Aware System","authors":"Atieh Mahroo, Daniele Spoladore, E. G. Caldarola, G. Modoni, M. Sacco","doi":"10.1109/PERCOMW.2018.8480414","DOIUrl":"https://doi.org/10.1109/PERCOMW.2018.8480414","url":null,"abstract":"This paper describes CasAware, a context-aware system allowing domestic distributed devices to interoperate and collaborate with each other exploiting the Internet of Things. CasAware’s main purpose is to improve inhabitants’ level of comfort and well-being, enforcing their safety, while optimizing time and energy consumption of appliances. The envisioned system leverages combined exploitation of various technologies ranging from Cloud Computing to Semantic Web technologies. In particular, it takes advantage of ontological modelling techniques to formalize the knowledge of different domestic domains (house, appliances, sensors and the pieces of information they share) and exploits semantic reasoning techniques to infer new insights from already known facts. Although the potential of semantic approach has been investigated in many recent researches, various challenges have to be faced in order to make it feasible on a large scale. These challenges are analyzed through three different motivating scenarios, which also contribute to elicit the requirements of the CasAware system.","PeriodicalId":190096,"journal":{"name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126671259","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}