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Vision-based Assessment of Balance Control in Elderly People
- Source :
- The 15th Edition of IEEE International Symposium on Medical Measurements and Applications, Virtual, 01/06/2020-01/07/2020, info:cnr-pdr/source/autori:Laura Romeo, Roberto Marani, Nicola Lorusso, Maria Teresa Angelillo, Grazia Cicirelli/congresso_nome:The 15th Edition of IEEE International Symposium on Medical Measurements and Applications/congresso_luogo:Virtual/congresso_data:01%2F06%2F2020-01%2F07%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine, MeMeA
- Publication Year :
- 2020
-
Abstract
- Falls represent one of the most serious clinical problems in the elderly population. This risk is even more important in people suffering from neurodegenerative problems. This work aims to instrumentally assess the balance performance of elderly people and specifically those suffering from neurodegenerative diseases, to obtain an objective evaluation of their risk of falls. This paper presents a vision-based system made of three low-cost cameras, able to automatically infer important mobility parameters by observing the execution of well-established tests for stability assessment. This result is achieved by a dedicated image processing pipeline, which processes videos to get dynamic user skeletons, and the following strategy for information management, which targets to feature extraction. This information finally feeds a classifier, namely a decision tree, trained to predict the risk of fall of patients within 5 classes of interest. Actual experiments performed on actual video recordings prove a good agreement of results with those expected, labeled by expert therapists, with final prediction accuracy of 79.1%.
- Subjects :
- Information management
030506 rehabilitation
Computer science
business.industry
Feature extraction
Control (management)
Decision tree
Image processing
Machine learning
computer.software_genre
Pipeline (software)
03 medical and health sciences
OpenPose
0302 clinical medicine
Classifier (linguistics)
Fall risk assessment
low-cost cameras
neurodegenerative diseases
Artificial intelligence
0305 other medical science
business
computer
030217 neurology & neurosurgery
Balance (ability)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- The 15th Edition of IEEE International Symposium on Medical Measurements and Applications, Virtual, 01/06/2020-01/07/2020, info:cnr-pdr/source/autori:Laura Romeo, Roberto Marani, Nicola Lorusso, Maria Teresa Angelillo, Grazia Cicirelli/congresso_nome:The 15th Edition of IEEE International Symposium on Medical Measurements and Applications/congresso_luogo:Virtual/congresso_data:01%2F06%2F2020-01%2F07%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine, MeMeA
- Accession number :
- edsair.doi.dedup.....c99b668a2da052b7a76008417600db00