Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support

Thanos G. Stavropoulos, Georgios Meditskos, Alexia Briassouli, Ioannis Kompatsiaris

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

A comprehensive multi-sensor monitoring and feedback sys-tem is presented, designed to support independent living for elderly people with dementia or other conditions, and provide decision support for their formal and informal care-givers. This solution goes signi-cantly beyond existing mon-itoring 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 technolo-gies, including video, audio analysis, in addition to physi-ological, environmental and other measurements. Semantic web technologies are used in for the intelligent integration and feedback of the sensor analysis results, in line with user requirements, dictated by clinicians. This results in rele-vant feedback and decision support, which is communicated to the end users via appropriately designed user interfaces. A variety of clinical scenarios and environments are sup-ported, from short-duration testing in hospital environments to long-term daily life monitoring and support at home, for independent living.

Original languageEnglish
Title of host publication1st International Workshop on Multimedia for Personal Health and Healthcare (MMHealth) 2016, co-located with ACM Multimedia
DOIs
Publication statusPublished - 2016
Externally publishedYes

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