Patent ID: 11928894
Assignee: ORIGIN WIRELESS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 7:
8. The system of claim 6, wherein:
the at least one motion feature is associated with at least one of: a time stamp in the time window and the at least one motion cycle; and
the at least one motion feature comprises at least one of the following acceleration-related features:
a motion acceleration being a derivative of a motion speed, a mean acceleration being A-average of motion acceleration in a subwindow of the time window around the time stamp, wherein the subwindow is at least one of: the whole time window, a sliding window, at least one motion cycle, at least one step segment and another subwindow, wherein A-average comprises at least one of: an average, a weighted average and a trimmed mean,
a mean-subtracted acceleration being a motion acceleration minus a mean acceleration, a maximum acceleration being maximum of motion acceleration within the subwindow, a minimum acceleration being minimum of motion acceleration within the subwindow, an acceleration variance being variance of motion acceleration within the subwindow, an acceleration deviation being X-percentile of sample distribution of mean-subtracted acceleration in the subwindow, wherein X is a number between 0 and 100,
a maximum positive acceleration deviation being maximum of mean-subtracted acceleration in the subwindow, and a maximum negative acceleration deviation being minimum of mean-subtracted acceleration in the subwindow, an acceleration peak variance being variance of local peak (local maximum) of motion acceleration in the subwindow, an acceleration valley variance being variance of local valley (local minimum) of motion acceleration in the subwindow,
at least one k-th acceleration-ACF-peak (k-AAP) being a k-th AAP at the time stamp, wherein AAP (acceleration-ACF-peak) is a local peak of an autocorrelation function (ACF) of motion acceleration at the time stamp, wherein k is a non-negative integer,
a mean k-AAP being A-average of k-AAP in the subwindow, a k-AAP variance being variance of k-AAP in the subwindow, a k-AAP-difference (k-AAPD) being difference of k-th AAP and (k+1)-th AAP at the time stamp, a mean k-AAPD being A-average of k-AAPD in the subwindow, a k-AAPD variance being variance of k-AAPD in the subwindow, an acceleration-ACF-peak-count (AAPC) being a count of significant AAP at the time stamp, a mean AAPC being A-average of AAPC in the subwindow, an AAPC variance being variance of AAPC in the subwindow, an AAPC-pdf being a sample probability of AAPC being k in the subwindow, an AAPC-difference (AAPCD) being a difference of the AAPC and another AAPC at an adjacent time stamp, a mean AAPCD being A-average of AAPCD in the subwindow, an AAPCD variance being variance of AAPCD in the subwindow,
an acceleration recurrent plot (RP) being a 2-dimensional plot of R(i,j), wherein i and j are running time indices in the subwindow, wherein R(i,j) is a similarity score of a first vector at time i and a second vector at time j, wherein each of first and second vectors is a vector at a time t comprising at least one gait-acceleration-related feature in a sliding subwindow of the time window around the time t,
an acceleration recurrent plot (RP) feature each comprising at least one of: recurrence rate, determinism, entropy, average diagonal line, and another feature, of the acceleration RP,
a TSA feature of a time-scaled ACF (TSA), the TSA being an ACF of a gait-acceleration-related feature in a subwindow of the time stamp with the ACF time axis scaled such that its first peak occurs at a selected time lag, an acceleration harmonic ratio associated with a motion cycle, being a ratio of sum of amplitude of even harmonics of Fourier transform of motion acceleration in the motion cycle to sum of amplitude of odd harmonics of the Fourier transform, an acceleration harmonic feature associated with a motion cycle, being computed based on a function of even terms of a frequency transform of motion acceleration of the motion cycle and on the function of odd terms of the frequency transform, a generalized acceleration harmonic feature associated with the at least one motion cycle and computed based on a first function of even terms of a transform of gait-acceleration-related features in the at least one motion cycle and a second function of odd terms of the transform,
a left-right-step acceleration symmetry feature, a function of at least one of the above features,
and a function of another feature.