Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101642
Title: Movement of head and center of mass: Joint assessment
Authors: Vasilyev, V. S.
Borisov, V. I.
Syskov, A. M.
Issue Date: 2019
Publisher: American Institute of Physics Inc.
Citation: Vasilyev V. S. Movement of head and center of mass: Joint assessment / V. S. Vasilyev, V. I. Borisov, A. M. Syskov. — DOI 10.1063/1.5134335 // AIP Conference Proceedings. — 2019. — Vol. 2174. — 020184.
Abstract: In this research, we hypothesize that head-mounted accelerometric sensors can be effectively utilized in the tasks of motion activity classification and balance control evaluation, on a par with conventional methods based on stabilometric platforms. Following this hypothesis, we carried out a series of short experiments with stabilometric system "Stabilan-01-2" and consumer-grade tri-axial accelerometer. Collected motion signals were batch-processed and passed through feature extraction pipeline. After that, characteristic spaces were formed and classified using statistical machine learning methods. Results of the classification indicated that feature space of accelerometric data is informative enough to accurately classify motion activity associated with balance control, thus confirming our initial hypothesis. These results demonstrate that accelerometers can be used as a low-costly and portable alternative to stabilometric systems, and suggest a promising and novel approach to balance control assessment. © 2019 Author(s).
URI: http://hdl.handle.net/10995/101642
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85076590064
PURE ID: 11727826
dc1e5f41-bdc7-488f-b833-25de85e6e59a
ISSN: 0094243X
ISBN: 9780735419216
DOI: 10.1063/1.5134335
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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