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Self evolutory systems and the kinetics of aging | IEEE Conference Publication | IEEE Xplore

Self evolutory systems and the kinetics of aging


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 ...Show More

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.
Date of Conference: 25-27 June 2015
Date Added to IEEE Xplore: 30 July 2015
Electronic ISBN:978-1-4673-6936-7

ISSN Information:

Conference Location: Warsaw, Poland

References

References is not available for this document.