Estimation of gait cycle characteristics by trunk accelerometry.

By R. Moe-Nilssen, J. Helbostad. Journal of Biomechanics, 2004

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Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity (2013, methodology): “Accelerometer devices, based on acceleration sensors which allow for raw data storage expressed in g-units or SI units at a relatively high sampling frequency have been used in gait analysis [6,7] and ambulant activity classification [8,9] for a number of years.”
Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use (2016, neutral): “[12], [14], [15], [17], [20]–[22].”
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring (2010, background): “[63,64] estimated the gait cycle characteristics of the subjects during timed walking.”
Accelerometry: a technique for quantifying movement patterns during walking. (2008, background): “The periodic output of an unbiased autocorrelation applied to lower trunk accelerations provides information concerning cadence, step length and symmetry of walking [105], and has an 80% probability of differentiating between the walking patterns of fit and frail older adults [106].”