1. A motion detection method comprising: obtaining, at a neural network training system, multiple sets of tagged neural network input data, each set of tagged neural network input data based on a statistical analysis of a series of wireless signals transmitted through a space over a respective time period, each set of the tagged neural network input data comprising a tag indicating whether motion occurred in the space over the respective time period, wherein the tagged neural network input data comprises histogram data, 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, 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; and by operation of the neural network training system, processing the sets of tagged neural network input data to parameterize nodes of a neural network system; detecting motion, using the neural network system comprising the parameterized nodes, based on untagged neural network input data; and activating a security system or a physical device associated with the space where the motion was detected.