ABSTRACT
Demographic and epidemiologic transitions have brought forward a new health care paradigm with the presence of both growing elderly population and chronic diseases. Recent technological advances can support elderly people in their domestic environment assuming that several ethical and clinical requirements can be met. This paper presents an architecture that is able to meet these requirements and investigates the technical challenges introduced by our approach.
- EU project RADIO. http://www.radio-project.euGoogle Scholar
- C. P. Antonopoulos, G. Keramidas et al. Robots in Assisted Living Environments as an Unobtrusive, Efficient, Reliable and Modular Solution for Independent Ageing: The RADIO Perspective. Proc. of Intl. Sympocium in Applied Reconfigurable Computing, 2015.Google ScholarCross Ref
- A. Matic, P. Mehta et al. Monitoring dressing activity failures through RFID and video. Methods of Information in Medicine, 2012.Google Scholar
- D. Sgouropoulos, T. Giannakopoulos et al. Clothes change detection using the Kinect sensor. Proc. of Intl. Conference on Signal Processing and Multimedia Applications, 2014.Google Scholar
- M. Philipose, K. P. Fishkin et al. Inferring activities from interactions with objects. Pervasive Computing, 2004. Google ScholarDigital Library
- D. J. Cook, M. Schmitter-Edgecombe. Assessing the quality of activities in a smart environment. Methods of Information in Medicine, 2009.Google Scholar
- A. F. Dalton, F. Morgan, G. Olaighin. A preliminary study of using wireless kinematic sensors to identify basic Activities of Daily Living. Proc. of Intl. Conference on Engineering in Medicine and Biology Society, 2008.Google ScholarCross Ref
- RADIO Deliverable 2.2. Early detection methods and relevant system requirements. July 2015. http://radio-project.eu/deliverablesGoogle Scholar
- C. Zhang, Y. Tian. RGB-D Camera-based Daily Living Activity Recognition. Journal of Computer Vision and Image Processing, 2012.Google Scholar
- H. M. Hondori, M. Khademi et al. Monitoring intake gestures using sensor fusion (microsoft kinect and inertial sensors) for smart home tele-rehab setting. Proc. of Annual Healthcare Innovation Conference, 2012.Google Scholar
- M. Vacher, A. Fleury et al. Complete sound and speech recognition system for health smart homes: application to the recognition of activities of daily living. New Developments in Biomedical Engineering, 2010.Google ScholarCross Ref
- S. Koolagudi, K. S. Rao. Emotion recognition from speech: a review. Journal of Speech Technology, 2012. Google ScholarDigital Library
- Z. Zeng, M. Pantic et al. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. Transactions on Pattern Analysis and Machine Intelligence, 2009. Google ScholarDigital Library
- Z-Wave Alliance. http://z-wavealliance.org/Google Scholar
- TurtleBot2 Robot Development Kit. http://www.turtlebot.comGoogle Scholar
- Xilinx Inc. Zynq-7000 All Programmable SoC Overview, 2015.Google Scholar
- S. Thrun, W. Burgard, D. Fox. Probabilistic Robotics. The MIT Press, 2005.Google Scholar
- F. Schwiegelshohn, M. Hübner. An Application Scenario for Dynamicaly Reconfigurable FPGAs. Proc. of Intl. Sympocium on Reconfigurable Communication-centric Systems-on-Chip, 2014.Google Scholar
- N. Dalal, B. Triggs. Histograms of oriented gradients for human detection. Proc. of Intl. Conference on Computer Vision and Pattern Recognition Conference, 2005. Google ScholarDigital Library
- P. Viola, J. Jones. Robust real-time face detection. Journal of Computer Vision, 2004. Google ScholarDigital Library
- J. Rettkowski, A. Boutros, D. Göhringer. Real-Time Pedestrian Detection on a Xilinx Zynq using the HOG Algorithm. Proc. of Intl. Conference on Reconfigurable Computing and FPGAs, 2015.Google ScholarCross Ref
- P. Wehner, D. Göhringer. Internet of Things Simulation using OMNeT++ and Hardware in the Loop. Proc. of Intl. Workshop on Components and Services for IoT Platforms, 2015Google Scholar
- T. Kostoulas, I. Mporas et al. Affective speech interface in serious games for supporting therapy of mental disorders. Expert Systems with Applications, 2012. Google ScholarDigital Library
- T. Theodorou, I. Mporas, N. Fakotakis. Audio Feature Selection for Recognition of Non-Linguistic Vocalization Sounds. Artificial Intelligence: Methods and Applications, LNCS 8445, 2014.Google Scholar
- A. Dey, A. Fekete, U. Rohm. REST+T: Scalable Transactions over HTTP. Proc. of Intl. Conference on Cloud Engineering, 2015. Google ScholarDigital Library
- Y. Zhou, Y. Ji. Design of rest APIs for the exposure of IMS capabilities towards Web Services. Proc. of Intl. Conference on Communication Technology and Application, 2011.Google Scholar
Index Terms
- Computation and communication challenges to deploy robots in assisted living environments
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