2017
DOI: 10.3390/app7090959
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Which Method Detects Foot Strike in Rearfoot and Forefoot Runners Accurately when Using an Inertial Measurement Unit?

Abstract: Accelerometers and gyroscopes are used to detect foot strike (FS), i.e., the moment when the foot first touches the ground. However, it is unclear whether different conditions (footwear hardness or foot strike pattern) influence the accuracy and precision of different FS detection methods when using such micro-electromechanical sensors (MEMS). This study compared the accuracy of four published MEMS-based FS detection methods with each other and the gold standard (force plate) to establish the most accurate met… Show more

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Cited by 17 publications
(8 citation statements)
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References 31 publications
(46 reference statements)
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“…Initial foot contact was determined at the time point when maximum acceleration of the foot occurred, as suggested by Shiang et al (2016) [16]. Others have employed different techniques, which might estimate an earlier time point of actual foot contact, i.e., before maximal foot acceleration occurs [30,31]. An earlier foot contact estimate would increase the time of integration and lead to larger, potentially more accurate, foot strike angles being estimated.…”
Section: Discussionmentioning
confidence: 99%
“…Initial foot contact was determined at the time point when maximum acceleration of the foot occurred, as suggested by Shiang et al (2016) [16]. Others have employed different techniques, which might estimate an earlier time point of actual foot contact, i.e., before maximal foot acceleration occurs [30,31]. An earlier foot contact estimate would increase the time of integration and lead to larger, potentially more accurate, foot strike angles being estimated.…”
Section: Discussionmentioning
confidence: 99%
“…The first paper, 'Which Method Detects Foot Strike in Rearfoot and Forefoot Runners Accurately when Using an Inertial Measurement Unit?' authored by C. Mitschke, T. Heß, and T. L. Milani, investigated different algorithms to detect foot strike (i.e., the moment when the foot first touches the ground) using six-axis inertial units [2]. Specifically, authors evaluated the efficacy of the considered algorithms in different practical experiment setups where footwear hardness and locomotion patterns were varied.…”
Section: Wearable Computing and Machine Learning For Applications In mentioning
confidence: 99%
“…Recently, inertial measurement unit (IMU) sensors have also been used to measure the MCV [1,11]. Apart from this, IMUs are frequently used for: (i) gait analysis [12,13]; (ii) pedestrian navigation tracking [14][15][16][17][18][19][20][21]; (iii) ankle rehabilitation [22]; (iv) foot pose estimation [23]; (v) foot clearance estimation [24]; game play monitoring [25] and (vi) foot strike detection during running [26]. In general, IMU devices use a data fusion of a three-axis gyroscope, three-axis geomagnetic sensor and three-axis accelerometer to provide robust distortion-free and refined absolute position and orientation vectors [13].…”
Section: Introductionmentioning
confidence: 99%