Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Telecommunications Engineering
Abstract EN
Correctly identifying human activities is very significant in modern life.
Almost all feature extraction methods are based directly on acceleration and angular velocity.
However, we found that some activities have no difference in acceleration and angular velocity.
Therefore, we believe that for these activities, any feature extraction method based on acceleration and angular velocity is difficult to achieve good results.
After analyzing the difference of these indistinguishable movements, we propose several new features to improve accuracy of recognition.
We compare the traditional features and our custom features.
In addition, we examined whether the time-domain features and frequency-domain features based on acceleration and angular velocity are different.
The results show that (1) our custom features significantly improve the precision of the activities that have no difference in acceleration and angular velocity; and (2) the combination of time-domain features and frequency-domain features does not significantly improve the recognition of different activities.
American Psychological Association (APA)
Peng, Zhiqiang& Zhang, Yue. 2018. Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1204731
Modern Language Association (MLA)
Peng, Zhiqiang& Zhang, Yue. Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors. Mobile Information Systems No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1204731
American Medical Association (AMA)
Peng, Zhiqiang& Zhang, Yue. Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1204731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204731