{"title":"Session details: Tools, infrastructures, architectures and techniques for deploying pervasive applications in assistive environments I","authors":"","doi":"10.1145/3246798","DOIUrl":"https://doi.org/10.1145/3246798","url":null,"abstract":"","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484569","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}
Y. Deguchi, Daisuke Takayama, S. Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki
{"title":"Multiple-robot monitoring system based on a service-oriented DBMS","authors":"Y. Deguchi, Daisuke Takayama, S. Takano, Vasile-Marian Scuturici, Jean-Marc Petit, Einoshin Suzuki","doi":"10.1145/2674396.2674418","DOIUrl":"https://doi.org/10.1145/2674396.2674418","url":null,"abstract":"In this paper, we present a human-targeted monitoring system composed of two autonomous mobile robots based on a service-oriented DBMS, mainly from the viewpoint of positioning control. Each robot is equipped with a Kinect and monitors the target human from appropriate angles and distances. The service-oriented DBMS, which manages the monitoring system and enables a rapid development and extension of the system, views each robot as a data source which generates a data stream to be stored and processed in the DBMS. The results of the experiments conducted in a real office are promising.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115668658","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}
David Paulk, V. Metsis, Christopher D. McMurrough, F. Makedon
{"title":"A supervised learning approach for fast object recognition from RGB-D data","authors":"David Paulk, V. Metsis, Christopher D. McMurrough, F. Makedon","doi":"10.1145/2674396.2674432","DOIUrl":"https://doi.org/10.1145/2674396.2674432","url":null,"abstract":"Object recognition serves obvious purposes in assisted living environments, where robotic devices can be used as companions to assist humans in need. The recent introduction of vision based sensors, which are able to extract depth sensing information about the environment, in addition to the traditional RGB video, presents new opportunities and challenges for more accurate object recognition. The current work, presents an object recognition approach that uses RGB-D point cloud data and a novel feature extraction methodology, in combination with well-known supervised learning algorithms, to achieve accurate, real-time recognition of a large number of objects. In our experiments, we use a dataset of household objects organized into 51 categories, and evaluate the recognition accuracy and time efficiency of a set of different supervised learning methods.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115720389","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":"Session details: Workshop on Affective Computing for Biological Activity Recognition in Assistive Environments (STHENOS)","authors":"","doi":"10.1145/3246793","DOIUrl":"https://doi.org/10.1145/3246793","url":null,"abstract":"","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116149005","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}
P. Agrafiotis, A. Doulamis, N. Doulamis, A. Georgopoulos
{"title":"Multi-sensor target detection and tracking system for sea ground borders surveillance","authors":"P. Agrafiotis, A. Doulamis, N. Doulamis, A. Georgopoulos","doi":"10.1145/2674396.2674460","DOIUrl":"https://doi.org/10.1145/2674396.2674460","url":null,"abstract":"Border safety is a critical part of national and European security. This paper presents a vision-based system for ground and maritime surveillance using fixed and moving PTZ cameras. This system is intended to be used as an early warning system by local authorities. For the ground surveillance scenario, we introduce a stable human tracker able to efficiently cope with the trade-off between model stability and adaptability. More specifically, we adopt probabilistic mixture models like the Gaussian Mixture Models (GMMs) which exploit geometric properties for background modelling. Then, we integrate iterative motion information methods, concerned by shape and time properties, to estimate image regions of high confidence for updating the background model. For the maritime surveillance scenario for ship detecting and tracking, the system incorporates a visual attention method exploiting low-level image features with an online adaptable neural network tracker. No assumptions about environmental or visual conditions are made. System performance was evaluated in real time for robustness compared to dynamically changing visual conditions with videos from cameras placed at a test area near Athens for the ground scenario and at Venetian port of Chania.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704081","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}
E. Ferrara, Sonia Nardotto, S. Ponte, S. Dellepiane
{"title":"Infrastructure for data management and user centered rehabilitation in Rehab@Home project","authors":"E. Ferrara, Sonia Nardotto, S. Ponte, S. Dellepiane","doi":"10.1145/2674396.2674419","DOIUrl":"https://doi.org/10.1145/2674396.2674419","url":null,"abstract":"In this paper, we describe the Rehab@Home Operational Infrastructure which functioning essentially relies on the acquisition, processing, exchange and interpretation of a large set of heterogeneous data and information. These data are coming from existing clinical data records, rehabilitation workflow structure, user-system interaction, and explicit user feedback, basic information about expected and actual rehabilitation progress, biophysical sensors, ambient and contextual sensors. What in a more precise and detailed way has been described and analyzed is the specification and development of data protocol and data integration devoted to the acquisition, processing, exchange and interpretation of a large set of heterogeneous data and information coming from biophysical sensors, ambient and contextual sensors, existing clinical data records. It has been carried a study of user profiling and personalization, which will be exploited to adapt process and services with the aim of enhancing user satisfaction. Thanks to personalization of the user-system interaction, the explicit user feedback, the basic information about expected and actual rehabilitation progress are made available in the best way. Case-based reasoning further improves the extraction of useful information from a single patient and from compared analysis. Identification of the most relevant risk factors related to the rehabilitation process and the monitoring of the whole rehabilitation process was another field of study.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124188241","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}
Miao Song, P. Grogono, Serguei A. Mokhov, Wang Song, M. Simmonds
{"title":"Innovative medical applications and beyond of 3D techniques in a responsive virtual reality lab: experience report","authors":"Miao Song, P. Grogono, Serguei A. Mokhov, Wang Song, M. Simmonds","doi":"10.1145/2674396.2674452","DOIUrl":"https://doi.org/10.1145/2674396.2674452","url":null,"abstract":"In this interdisciplinary work we present a brief report on our experience with virtual reality (VR) for rehabilitation research and present exemplar research projects on integrated pain, mind, and movement research. We specifically discuss our interdisciplinary experience with the use of 3D (stereo and non-stereo) computer graphics techniques for applications in VR rehabilitation research and include documentary production. Finally we present data that shows how virtual environments and movement can alter the pain experience and improve both physical and cognitive function.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123168348","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":"The impact of resource heterogeneity on the timeliness of hard real-time complex jobs","authors":"Georgios L. Stavrinides, H. Karatza","doi":"10.1145/2674396.2674469","DOIUrl":"https://doi.org/10.1145/2674396.2674469","url":null,"abstract":"The rapid technological advances have made the use of domestic assistive environments vital in the daily life of elderly and disabled people. A major challenge in an assistive environment is the effective coordination and scheduling of the interdependent tasks required for the analysis and processing of the collected sensory data, in order to timely response to a life-threatening emergency event. These complex jobs are usually scheduled on distributed heterogeneous resources that may be part of a computational grid or cloud. We investigate by simulation the impact of the processor and network heterogeneity on the timeliness of such critical jobs.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131462817","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}
Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén
{"title":"Defining a mobile architecture for structural health monitoring","authors":"Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén","doi":"10.1145/2674396.2674468","DOIUrl":"https://doi.org/10.1145/2674396.2674468","url":null,"abstract":"The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627748","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}
George Galanakis, Xenophon Zabulis, P. Koutlemanis, Spiros Paparoulis, Vassilis Kouroumalis
{"title":"Tracking persons using a network of RGBD cameras","authors":"George Galanakis, Xenophon Zabulis, P. Koutlemanis, Spiros Paparoulis, Vassilis Kouroumalis","doi":"10.1145/2674396.2674467","DOIUrl":"https://doi.org/10.1145/2674396.2674467","url":null,"abstract":"A computer vision system that employs an RGBD camera network to track multiple humans is presented. The acquired views are used to volumetrically and photometrically reconstruct and track the humans robustly and in real time. Given the frequent and accurate monitoring of humans in space and time, their locations and walk-through trajectory can be robustly tracked in real-time.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121117938","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}