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SVM-based posture identification with a single waist-located triaxial accelerometer

Author
Rodriguez-Martin, D.; Sama, A.; Perez, C.; Catala, A.; Cabestany, J.; Rodríguez, A.
Type of activity
Journal article
Journal
Expert systems with applications
Date of publication
2013-12
Volume
40
Number
18
First page
7203
Last page
7211
DOI
https://doi.org/10.1016/j.eswa.2013.07.028 Open in new window
Repository
http://hdl.handle.net/2117/20276 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0957417413005058# Open in new window
Abstract
Analysis of human body movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson’s disease o stroke patients, it is crucial to monitor and assess their daily life activities. The main goal of this work is the characterization of basic activities using a single triaxial accelerometer located at the waist. This paper presents a novel postural detection algorithm based in SVM methods which is a...
Citation
Rodriguez, D. [et al.]. SVM-based posture identification with a single waist-located triaxial accelerometer. "Expert systems with applications", Desembre 2013, vol. 40, núm. 18, p. 7203-7211.
Keywords
Support vector machines Accelerometers Neurodegenerative diseases Real time systems
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
ISSET - Integrated Smart Sensors and Health Technologies

Participants