Using Commonly Available IoT Devices to Support and Facilitate the Learning Process : Plenary Talk

Abstract

Emotion recognition relies heavily on physiological reactions and facial expressions. The goal of the research is to design an Internet of Things (IoT) based sensor network that can monitor the emotional state of users. IoT is a network of physical objects, devices, machines and other objects with advanced electronics that includes software, sensors and network connectivity, which enables the collection and exchange of data. Using current technology, a set of measurement devices can be used to create a complex sensory network that is capable of acquiring physiological responses and recognizing emotions based on a user’s facial features using facial recognition software. It is also important to automate these devices and the acquisition of sensory data so that they can be easily used without the need for additional user input. The aim of the research is to describe an experiment in which physiological features are collected using inexpensive, common and noninvasive Internet of Things (IoT) devices and the sensory data is automatically sent to a server for further processing. A dataset is created from the measured values and descriptive statistics are used to understand and visualise them.