An interactive tool for conditioning inertial sensor data for sports applications
Author(s)
Jithu, Paul
Espinosa, Hugo
James, Daniel
Year published
2016
Metadata
Show full item recordAbstract
Measurements with inertial sensors have been used in many sports applications through the last decades. The data extracted from the sensors are used by coaches, players and sports scientists to monitor athletes' performance; this often requires graphical user interfaces for viewing and processing of data. An interactive user interface is presented in this paper for the basic analysis of sensor data (accelerometer). The tool allows for the analysis and understanding of basic data processing including different types of filtering and threshold-based activity classifiers. To demonstrate the effectiveness of the tool, an application ...
View more >Measurements with inertial sensors have been used in many sports applications through the last decades. The data extracted from the sensors are used by coaches, players and sports scientists to monitor athletes' performance; this often requires graphical user interfaces for viewing and processing of data. An interactive user interface is presented in this paper for the basic analysis of sensor data (accelerometer). The tool allows for the analysis and understanding of basic data processing including different types of filtering and threshold-based activity classifiers. To demonstrate the effectiveness of the tool, an application for human gait analysis is presented. Copyright of Journal of Fitness Research is the property of Australian Institute of Fitness and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
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View more >Measurements with inertial sensors have been used in many sports applications through the last decades. The data extracted from the sensors are used by coaches, players and sports scientists to monitor athletes' performance; this often requires graphical user interfaces for viewing and processing of data. An interactive user interface is presented in this paper for the basic analysis of sensor data (accelerometer). The tool allows for the analysis and understanding of basic data processing including different types of filtering and threshold-based activity classifiers. To demonstrate the effectiveness of the tool, an application for human gait analysis is presented. Copyright of Journal of Fitness Research is the property of Australian Institute of Fitness and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
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Journal Title
Journal of Fitness Research
Volume
5
Publisher URI
Subject
Human Movement and Sports Science not elsewhere classified
Electrical and Electronic Engineering not elsewhere classified
Human Movement and Sports Sciences