Paper Info
Title
Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support.
Abstract
A comprehensive multi-sensor monitoring and feedback system is presented, designed to support independent living for elderly people with dementia or other conditions and provide decision support for their formal and informal caregivers. This solution goes significantly beyond existing monitoring and assisted living approaches, which operate with a simple set of sensors and measurements, as it integrates a very heterogeneous set of sensing modalities and technologies, including video, audio analysis, in addition to physiological, environmental and other measurements. Semantic web technologies are used in for the intelligent integration and feedback of the sensor analysis results, also in line with user requirements, dictated by clinicians. This results in relevant feedback and decision support, which is communicated to the end users via appropriately designed user interfaces. A variety of clinical scenarios and environments are supported, from short-duration testing in hospital environments to long-term daily life monitoring and support at home, for independent living.
Year
DOI
Venue
2016
10.1145/2985766.2985776
MMHealth@ACM Multimedia
Field
DocType
Citations 
End user,Computer science,Decision support system,Semantic Web,Context awareness,Audio analyzer,User interface,Independent living,Multimedia,User requirements document
Conference
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Thanos G. Stavropoulos114318.07
Georgios Meditskos228434.76
A. Briassouli31448.00
Ioannis Kompatsiaris41404197.36