Registration and Analysis of Acceleration Data to Recognize Physical Activity
Joint Authors
Kołodziej, Marcin
Majkowski, Andrzej
Tarnowski, Paweł
Rak, Remigiusz J.
Gebert, Dominik
Sawicki, Dariusz
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The purpose of the article is to check whether the acceleration signals recorded by a smartphone help identify a user’s physical activity type.
The experiments were performed using the application installed in a smartphone, which was located on the hip of a subject.
Acceleration signals were recorded for five types of physical activities (running, standing, going up the stairs, going down the stairs, and walking) for four users.
The statistical parameters of the signal were used to extract features from the acceleration signal.
In order to classify the type of activity, the quadratic discriminant analysis (QDA) was used.
The accuracy of the user-independent classification for five types of activities was 83%.
The accuracy of the user-dependent classification was in the range from 90% to 95%.
The presented results indicate that the acceleration signal recorded by the device placed on the hip of a user allows us to effectively distinguish among several types of physical activity.
American Psychological Association (APA)
Kołodziej, Marcin& Majkowski, Andrzej& Tarnowski, Paweł& Rak, Remigiusz J.& Gebert, Dominik& Sawicki, Dariusz. 2019. Registration and Analysis of Acceleration Data to Recognize Physical Activity. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1175469
Modern Language Association (MLA)
Kołodziej, Marcin…[et al.]. Registration and Analysis of Acceleration Data to Recognize Physical Activity. Journal of Healthcare Engineering No. 2019 (2019), pp.1-6.
https://search.emarefa.net/detail/BIM-1175469
American Medical Association (AMA)
Kołodziej, Marcin& Majkowski, Andrzej& Tarnowski, Paweł& Rak, Remigiusz J.& Gebert, Dominik& Sawicki, Dariusz. Registration and Analysis of Acceleration Data to Recognize Physical Activity. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1175469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175469