Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Physical activity (PA) recognition has recently become important in activity monitoring for the public healthcare.
Although body-worn sensors are well suited to collect data on activity patterns for long periods of time, users may forget to wear special microsensors.
On the contrary, more and more people take smartphone with them almost anytime.
At present, most popular smartphones have three built-in kinematic sensors (triaccelerometer, gyroscope, and magnetic sensor) which could be utilized to recognize PA.
This study utilized three built-in kinematic sensors in a smartphone to recognize PA and found out which features derived from the three sensors were significant to different PA.
We used a combined algorithm of Fisher’s discriminant ratio criterion and J3 criterion for feature selection.
A hierarchical classifiers system including fourteen classifiers was proposed and employed to recognize fifteen activities.
The optimal features derived from the built-in kinematic sensors of the smartphone were selected from 140 features.
The results indicated that the accelerometer was significant to PA recognition, while gyroscope and orientation sensor were effective to recognize the change of body posture and detect falls, respectively.
The total classification accuracy of 95.03% demonstrated the feasibility of utilizing the built-in kinematic sensors of the smartphone to recognize PA.
American Psychological Association (APA)
He, Yi& Li, Ye. 2013. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-475018
Modern Language Association (MLA)
He, Yi& Li, Ye. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-475018
American Medical Association (AMA)
He, Yi& Li, Ye. Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-475018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475018