A motion detection method, comprising: obtaining, at a neural network system, multiple sets of neural network input data , each set of neural network input data based on a statistical analysis of a series of wireless signals transmitted by a plurality of wireless communication devices through a space over a respective time period and received at a second wireless communication device, wherein the neural network input data comprises histogram data for statistical parameter values based on the received wireless signals, the histogram data comprising a set of bins and a quantity for each bin, each bin corresponding to a respective range for each of the statistical parameters, the statistical parameters comprising a mean and a standard deviation, and the statistical analysis comprises: obtaining a frequency-domain representation of the wireless signals; computing statistical parameter values based on the frequency-domain representation of the wireless signals; populating the statistical parameter values into an initial matrix; and generating the histogram data based on the initial matrix; by operation of the neural network system, processing the sets of neural network input data through a plurality of programmed neural network nodes; and by operation of the neural network system, determining whether motion of an object occurred in the space during the respective time period, wherein the motion of the object changes the transfer function of the space. obtaining, at a neural network system, multiple sets of neural network input data , each set of neural network input data based on a statistical analysis of a series of wireless signals transmitted by a plurality of wireless communication devices through a space over a respective time period and received at a second wireless communication device, wherein the neural network input data comprises histogram data for statistical parameter values based on the received wireless signals, the histogram data comprising a set of bins and a quantity for each bin, each bin corresponding to a respective range for each of the statistical parameters, the statistical parameters comprising a mean and a standard deviation, and the statistical analysis comprises: obtaining a frequency-domain representation of the wireless signals; computing statistical parameter values based on the frequency-domain representation of the wireless signals; populating the statistical parameter values into an initial matrix; and generating the histogram data based on the initial matrix; obtaining a frequency-domain representation of the wireless signals; computing statistical parameter values based on the frequency-domain representation of the wireless signals; populating the statistical parameter values into an initial matrix; and generating the histogram data based on the initial matrix; by operation of the neural network system, processing the sets of neural network input data through a plurality of programmed neural network nodes; and by operation of the neural network system, determining whether motion of an object occurred in the space during the respective time period, wherein the motion of the object changes the transfer function of the space. <EOS>