Danse-thérapie et Parkinson

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Identification of Gait Patterns Related to Health Problems of Elderly

Identifieur interne : 000268 ( Main/Exploration ); précédent : 000267; suivant : 000269

Identification of Gait Patterns Related to Health Problems of Elderly

Auteurs : Bogdan Pogorelc [Slovénie] ; Matjaž Gams [Slovénie]

Source :

RBID : ISTEX:1B6284A2B95D8680237B728C02638ED6B4A9872C

Abstract

Abstract: A system for automatic identification of gait patterns related to health problems of elderly for the purpose of supporting their independent living is proposed in this paper. The gait of the user is captured with the motion capture system, which consists of tags attached to the body and sensors situated in the apartment. Position of the tags is acquired by the sensors and the resulting time series of position coordinates are analyzed with machine learning algorithms in order to identify the specific health problem. We propose novel features for training a machine learning classifier that classifies the user’s gait into: i) normal, ii) with hemiplegia, iii) with Parkinson’s disease, iv) with pain in the back and v) with pain in the leg. Results show that naive Bayes needs more tags and less noise to reach classification accuracy of 98 % than random forest for 99 %.

Url:
DOI: 10.1007/978-3-642-16355-5_16


Affiliations:


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