Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition
Joint Authors
Jeong, Gu-Min
Nguyen, Nhan Duc
Bui, Duong Trong
Truong, Phuc Huu
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper proposes a novel approach to recognize activities based on sensor-placement feature selection.
The method is designed to address a problem of multisensor fusion information of wearable sensors which are located in different positions of a human body.
Precisely, the approach can extract the best feature set that characterizes each activity regarding a body-sensor location to recognize daily living activities.
We firstly preprocess the raw data by utilizing a low-pass filter.
After extracting various features, feature selection algorithms are applied separately on feature sets of each sensor to obtain the best feature set for each body position.
Then, we investigate the correlation of the features in each set to optimize the feature set.
Finally, a classifier is applied to an optimized feature set, which contains features from four body positions to classify thirteen activities.
In experimental results, we obtain an overall accuracy of 99.13% by applying the proposed method to the benchmark dataset.
The results show that we can reduce the computation time for the feature selection step and achieve a high accuracy rate by performing feature selection for the placement of each sensor.
In addition, our proposed method can be used for a multiple-sensor configuration to classify activities of daily living.
The method is also expected to deploy to an activity classification system-based big data platform since each sensor node only sends essential information characterizing itself to a cloud server.
American Psychological Association (APA)
Nguyen, Nhan Duc& Bui, Duong Trong& Truong, Phuc Huu& Jeong, Gu-Min. 2018. Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition. Journal of Sensors،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1202341
Modern Language Association (MLA)
Nguyen, Nhan Duc…[et al.]. Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition. Journal of Sensors No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1202341
American Medical Association (AMA)
Nguyen, Nhan Duc& Bui, Duong Trong& Truong, Phuc Huu& Jeong, Gu-Min. Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1202341
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202341