From emotions to mood disorders: A survey on gait analysis methodology
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Published version
Author(s)
Deligianni, Fani
Guo, Yao
Yang, Guang-Zhong
Type
Journal Article
Abstract
Mood disorders affect more than 300 million people
worldwide and can cause devastating consequences. Elderly
people and patients with neurological conditions are particularly
susceptible to depression. Gait and body movements can be
affected by mood disorders, and thus they can be used as a
surrogate sign, as well as an objective index for pervasive
monitoring of emotion and mood disorders in daily life. Here we
review evidence that demonstrates the relationship between gait,
emotions and mood disorders, highlighting the potential of a
multimodal approach that couples gait data with physiological
signals and home-based monitoring for early detection and
management of mood disorders. This could enhance selfawareness, enable the development of objective biomarkers that
identify high risk subjects and promote subject-specific treatment.
worldwide and can cause devastating consequences. Elderly
people and patients with neurological conditions are particularly
susceptible to depression. Gait and body movements can be
affected by mood disorders, and thus they can be used as a
surrogate sign, as well as an objective index for pervasive
monitoring of emotion and mood disorders in daily life. Here we
review evidence that demonstrates the relationship between gait,
emotions and mood disorders, highlighting the potential of a
multimodal approach that couples gait data with physiological
signals and home-based monitoring for early detection and
management of mood disorders. This could enhance selfawareness, enable the development of objective biomarkers that
identify high risk subjects and promote subject-specific treatment.
Date Issued
2019-09-09
Date Acceptance
2019-08-22
Citation
IEEE Journal of Biomedical and Health Informatics, 2019, 23 (6), pp.2302-2316
ISSN
2168-2194
Publisher
Institute of Electrical and Electronics Engineers
Start Page
2302
End Page
2316
Journal / Book Title
IEEE Journal of Biomedical and Health Informatics
Volume
23
Issue
6
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Identifier
https://ieeexplore.ieee.org/document/8827650
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Mathematical & Computational Biology
Medical Informatics
Computer Science
Mood
Senior citizens
Monitoring
Legged locomotion
Basal ganglia
Dementia
Mood disorders
Gait Analysis
Body movements
Emotions
DEPRESSIVE SYMPTOMS
PHYSICAL PERFORMANCE
PARKINSONS-DISEASE
EXECUTIVE FUNCTION
PRESSURE INSOLES
STATE AFFECTS
OLDER-ADULTS
INITIATION
HEALTH
RECOGNITION
Publication Status
Published
Date Publish Online
2019-09-09