INTERDISCIPLINARY RESEARCH IN AFFECTIVE COMPUTING FOR BIOLOGICAL ACTIVITY RECOGNITION IN ASSISTIVE ENVIRONMENTS

Abstract: 

The aging of the global population obviates the need for systems able to monitor people in need in their personal or hospital environment. The isolated processing of data coming from visual or other sensors has reached it limits; however, the incorporation of multimodal information may lead to enhanced function and more robust recognition of emotional behavior. So far, affective computing approaches have not taken into consideration a cognitive model for the design of the experimental protocols. Moreover, the potential of neurophysiology to model human brain responses to emotional stimuli has not been sufficiently investigated.

The aim of this project is to support aged people and patients with Alzheimer's or depression by a system that will recognize their emotional state and provide them with personalized computer interfaces targeting the enhancement of their everyday life through avoiding negative emotional states and exercise their attention. Besides, this home-care system will be also able to identify an urgent situation, e.g., a fall and inform the supervisors of relatives of the person, as well as evaluate the treatment of a patient with emotional disorders.

Project info

Acronym:
STHENOS
Scientific Coordinator:
Maglogiannis Ilias
Research Team 2 Leader:
Kollias Stefanos
Research Team 3 Leader:
Bamidis Panagiotis

Stats

I.D.:
1134
Mis:
380328
Duration (months):
36
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β4ΓΘ9-ΙΛΙ

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