DocumentCode :
3344987
Title :
Self evolutory systems and the kinetics of aging
Author :
Wessig, Kerstin
Author_Institution :
CEESAR-iHomeLab, Lucerne Univ. of Appl. Sci. & Arts - Eng. & Archit., Horw, Switzerland
fYear :
2015
fDate :
25-27 June 2015
Firstpage :
11
Lastpage :
14
Abstract :
The lack of social interaction and activity are particularly present among elderly people. Understanding and stimulating the emotional state of an individual can help to prevent inactivity, encourage higher level of physical activities, and general wellbeing. This approach has shown the extraordinary importance of emotions for the evaluation of situations in social contexts. Its results could serve as a neuroscientific grid for social solutions based on research on affects and emotions to actively prevent neural cells from stress. Our understanding and the technological monitoring of emotional states of the brain are now at a stage that an integrative solution can be realised to facilitate a healthy living of a new ageing generation. The aim is to develop a biofeedback system to prevent inactivity (often associated with blue mood and depression, atrophy and rapid decrease of the plasticity of the brain and the aging of neural cells). We developed and going to test a biofeedback system as a human-machine-human system preventing neural deterioration and stress. The envisaged applications will particularly strengthen the technological capacity and will be an important basis for further clinical or technological applications that preserve health and independence in old age.
Keywords :
assisted living; brain; emotion recognition; feedback; geriatrics; neurophysiology; patient monitoring; ageing generation; aging kinetics; atrophy; biofeedback system; blue mood; brain plasticity; clinical application; depression; elderly people; emotional state technological monitoring; general well being; health preservation; healthy living; human-machine-human system; inactivity prevention; neural cell aging; neural deterioration prevention; neural stress prevention; old age independence; physical activities; self evolutory systems; social activity; social context; social interaction; technological application; technological capacity; Aging; Biological control systems; Monitoring; Mood; Neuroscience; Senior citizens; Stress; Ambient Assisted Living; Assisted Persons; Behaviour Pattern Recognition; Bio Feedback System; Decrease of Public Infrastructure; Demographic Burden; Ethics; Older Adults; Pervasive User Interfaces; Self Evolutory Systems; Social Exclusion; Stress Management; User Involved Design Process; evolutionary Collaboration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human System Interactions (HSI), 2015 8th International Conference on
Conference_Location :
Warsaw
Type :
conf
DOI :
10.1109/HSI.2015.7170635
Filename :
7170635
Link To Document :
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