Ambient activity monitoring for medical applications in multi-person households
Pages 248 - 251
Abstract
This paper outlines doctoral research towards automated activity monitoring in the home, including past results and future plans. The aim of this research is to understand the possibilities and limitations of automated, or "unsupervised", approaches to ambient activity monitoring. Numerous applications of ambient activity monitoring, from care assessments to rehabilitation monitoring, have been developed in the past, but most approaches require complex calibration routines or are limited to single-person households. Furthermore, the requirements and theoretical limits of these approaches, such as sensor density and inhabitant-sensor-ratio, have not been studied.
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Marinakis, D., Dudek, G., & Fleet, D. J. (2005, April). Learning sensor network topology through monte carlo expectation maximization. Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference (pp. 4581--4587). IEEE.
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Marinakis, D., & Dudek, G. (2005, December). Sensor Network Topology Inference. Neural Information Processing Systems Workshop: Intelligence Beyond the Desktop (Whistler, Canada).
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Steen EE, Frenken T, Frenken M, Hein A: Functional Assessment in Elderlies Homes: Early Results from a Field Trial. 6. AAL-Kongress 2013, Advanced Technologies and Societal Change, Springer-Verlag.
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Steen, E.-E.; Frenken, T.; Eichelberg, M.; Frenken, M.; Hein, A.: Modeling Individual Healthy Behavior Using Home Automation Sensor Data: Results from a Field Trial. Journal of Ambient Intelligence and Smart Environments 5, IOS Press, 2013, pp. 503--523.
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D. H. Wilson and C. Atkeson. 2005. Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. Proceedings of the Third international conference on Pervasive Computing (PERVASIVE'05), Hans-W. Gellersen, Roy Want, and Albrecht Schmidt (Eds.). Springer-Verlag, Berlin, Heidelberg, 62--79.
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Lipprandt, M., & Hein, A. (2013, February). Structured Documentation of Physiological Models and Behavioural Patterns containing Uncertainty. In eTELEMED 2013, The Fifth International Conference on eHealth, Telemedicine, and Social Medicine (pp. 331--337).
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Müller, S., Helmer, A., Steen, E. E., Frenken, M., & Hein, A. (2014). Automated Clustering of Home Sensor Networks to Functional Regions for the Deduction of Presence Information for Medical Applications. AAL-Kongress 2014, Living -- Care - Participation, Springer-Verlag.
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Müller S., Hein, A. Ambient Activity Monitoring in Multi-Person Households. In First International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT). Submitted.
Index Terms
- Ambient activity monitoring for medical applications in multi-person households
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Published In
May 2014
459 pages
ISBN:9781631900112
- General Chair:
- Andreas Hein,
- Program Chairs:
- Susanne Boll,
- Friedrich Köhler
In-Cooperation
Publisher
ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Brussels, Belgium
Publication History
Published: 20 May 2014
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PervasiveHealth '14
PervasiveHealth '14: 8th International Conference on Pervasive Computing Technologies for Healthcare
May 20 - 23, 2014
Oldenburg, Germany
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Overall Acceptance Rate 55 of 116 submissions, 47%
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