The Trip Analyser: a wearable system to assess gait and potential tripping
Keywords:
Elderly, Fall risk, Motion capture systems, Wearable optical systemsAbstract
A wearable Arduino system (ESP32s) is described that uses optical time of flight (VL6180X) and inertial measurement unit (SENtral EM7180) sensors to estimate the Minimum Foot Clearance (MFC) of participants during gait. It is envisaged that an affordable wearable device that can acquire kinematic data outside the laboratory over periods of several weeks may find application in falls risk assessment in those with ambulatory disorders including the elderly. A geometric model is presented, and a preliminary trial was conducted with able-bodied subjects to test the correlation and agreement of the device with a Vicon 3D motion capture system, consisting of 12 infrared cameras located at the University of Warwick. The correlation between the device and the gait laboratory data yielded a correlation coefficient of r = 0.88. Agreement was tested using the Bland-Altman plot where the line of equality was within the 95% confidence interval of the mean difference suggesting that the device can be used as an alternative to Vicon for estimating MFC.
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