Increasing the opportunities for aging in place
CUU '00 Proceedings on the 2000 conference on Universal Usability
ASL Recognition Based on a Coupling Between HMMs and 3D Motion Analysis
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
Information extraction from sound for medical telemonitoring
IEEE Transactions on Information Technology in Biomedicine
Behavioral Patterns of Older Adults in Assisted Living
IEEE Transactions on Information Technology in Biomedicine
Ambient Intelligence: A New Multidisciplinary Paradigm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Ambient Assisted Living and Care in The Netherlands: The Voice of the User
International Journal of Ambient Computing and Intelligence
Hi-index | 0.00 |
This paper presents a pattern recognition model for assessing behavioral rhythms in the framework of aging and technologies. The method, previously tried and tested using motion sensors installed in assisted living units, has permitted to establish motion-based behaviors of older-people based on their habits in term of displacements and activity-levels. The method is now expanded to measure more specific patterns of everyday life activity assuming an activity can be pre-identified on the long term using an activity recognition system. The study feasibility, carried out using semi-artificial data, includes an attempt to model disruptive patterns of living linked with dementia. The alert triggering method, part of the model is improved, and has been evaluated using a real-case study to detect behavioral changes with a higher sensibility. A customized software embedding the model shows the potential of the system tool to detect baseline behaviors and changes, which could be related to particular chronic disease symptoms.