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Journal of Sensors
Volume 2016 (2016), Article ID 4759626, 6 pages
Research Article

Determine the Foot Strike Pattern Using Inertial Sensors

1Department of Athletic Performance, National Taiwan Normal University, Taipei 11677, Taiwan
2Bachelor Program of Athletic Performance, National Taitung University, Taitung 95092, Taiwan
3Department of Physical Education, National Taiwan Normal University, Taipei 10610, Taiwan
4HTC Research, New Taipei 23144, Taiwan

Received 22 April 2016; Revised 24 June 2016; Accepted 21 July 2016

Academic Editor: Alberto J. Palma

Copyright © 2016 Tzyy-Yuang Shiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


From biomechanical point of view, strike pattern plays an important role in preventing potential injury risk in running. Traditionally, strike pattern determination was conducted by using 3D motion analysis system with cameras. However, the procedure is costly and not convenient. With the rapid development of technology, sensors have been applied in sport science field lately. Therefore, this study was designed to determine the algorithm that can identify landing strategies with a wearable sensor. Six healthy male participants were recruited to perform heel and forefoot strike strategies at 7, 10, and 13 km/h speeds. The kinematic data were collected by Vicon 3D motion analysis system and 2 inertial measurement units (IMU) attached on the dorsal side of both shoes. The data of each foot strike were gathered for pitch angle and strike index analysis. Comparing the strike index from IMU with the pitch angle from Vicon system, our results showed that both signals exhibited highly correlated changes between different strike patterns in the sagittal plane (). Based on the findings, the IMU sensors showed potential capabilities and could be extended beyond the context of sport science to other fields, including clinical applications.