![](/images/graphics-bg.png)
Gait Signal Analysis with Similarity Measure
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Human gait decision was carried out with the help of similarity measure design.
Gait signal was selected through hardware implementation including all in one sensor, control unit, and notebook with connector.
Each gait signal was considered as high dimensional data.
Therefore, high dimensional data analysis was considered via heuristic technique such as the similarity measure.
Each human pattern such as walking, sitting, standing, and stepping up was obtained through experiment.
By the results of the analysis, we also identified the overlapped and nonoverlapped data relation, and similarity measure analysis was also illustrated, and comparison with conventional similarity measure was also carried out.
Hence, nonoverlapped data similarity analysis provided the clue to solve the similarity of high dimensional data.
Considered high dimensional data analysis was designed with consideration of neighborhood information.
Proposed similarity measure was applied to identify the behavior patterns of different persons, and different behaviours of the same person.
Obtained analysis can be extended to organize health monitoring system for specially elderly persons.
American Psychological Association (APA)
Lee, Sanghyuk& Shin, Seungsoo. 2014. Gait Signal Analysis with Similarity Measure. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048420
Modern Language Association (MLA)
Lee, Sanghyuk& Shin, Seungsoo. Gait Signal Analysis with Similarity Measure. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048420
American Medical Association (AMA)
Lee, Sanghyuk& Shin, Seungsoo. Gait Signal Analysis with Similarity Measure. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048420
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048420