Charting the behavioural state of a person using a backpropagation neural network
This paper describes the application of a backpropagation artificial neural network (ANN) for charting the behavioural state of previously unseen persons. In a simulated theft scenario participants stole or did not steal some money and were interviewed about the location of the money. A video of each interview was presented to an automatic system, which collected vectors containing nonverbal behaviour data. Each vector represented a participants nonverbal behaviour related to deception or truth for a short period of time. These vectors were used for training and testing a backpropagation ANN which was subsequently used for charting the behavioural state of previously unseen participants. Although behaviour related to deception or truth is charted the same strategy can be used to chart different psychological states over time and can be tuned to particular situations, environments and applications.
chart behaviour backpropagation nonverbal deception multichannels