Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device
Davidson, P., Virekunnas, H., Sharma, D., Piché, R., & Cronin, N. (2019). Continuous Analysis of Running Mechanics by Means of an Integrated INS/GPS Device. Sensors, 19 (6), 1480. doi:10.3390/s19061480
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SensorsDate
2019Discipline
BiomekaniikkaCopyright
© 2019 The Authors
This paper describes a single body-mounted sensor that integrates accelerometers, gyroscopes,
compasses, barometers, a GPS receiver, and a methodology to process the data for biomechanical studies.
The sensor and its data processing system can accurately compute the speed, acceleration, angular
velocity, and angular orientation at an output rate of 400 Hz and has the ability to collect large volumes of
ecologically-valid data. The system also segments steps and computes metrics for each step. We analyzed
the sensitivity of these metrics to changing the start time of the gait cycle. Along with traditional
metrics, such as cadence, speed, step length, and vertical oscillation, this system estimates ground contact
time and ground reaction forces using machine learning techniques. This equipment is less expensive
and cumbersome than the currently used alternatives: Optical tracking systems, in-shoe pressure
measurement systems, and force plates. Another advantage, compared to existing methods, is that
natural movement is not impeded at the expense of measurement accuracy. The proposed technology
could be applied to different sports and activities, including walking, running, motion disorder diagnosis,
and geriatric studies. In this paper, we present the results of tests in which the system performed real-time
estimation of some parameters of walking and running which are relevant to biomechanical research.
Contact time and ground reaction forces computed by the neural network were found to be as accurate
as those obtained by an in-shoe pressure measurement system.
...


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