State Inference

In the human‐in‐the‐loop (HiTL) control loop, the stage that follows data acquisition is state inference. This chapter explains how to implement the neural network that will be used as an inference tool. It discusses the implementation and development of the neural network, as well as the user feedback mechanisms, both of which are cornerstones of state inference in the sample HappyWalk app. HappyWalk's neural network is implemented using the Encog Machine Learning Framework. In this context, the objective is to implement a learning mechanism that will receive periodic feedback from the user and learn to associate emotions with sensory inputs. The frequency of these feedback requests will be dynamically adapted to the accuracy of the network. Finally, the chapter deals with the problem of requesting user feedback, and presents the solutions for processing user feedback.