Implementation of an IoT Based E Learning Testbed: Performance Evaluation Using Mean Shift Clustering Approach Considering Four Types of BrainWaves
Due to the opportunities provided by the Internet, people are taking advantage of e learning courses and enormous research efforts have been dedicated to the development of e learning systems. So far, many e learning systems are proposed and used practically. However, in these systems the e learning completion rate is low. One of the reasons is the low study desire and motivation. In this work, we present an IoT Based E Learning testbed using Raspberry Pi mounted on Raspbian. We carried out some experiments with a student of our laboratory for gamma type of brain waves. We used Mind Wave Mobile (MWM) to get the data and considered four situations: sleeping, relaxing, active and moving. Then, we used mean shift clustering algorithm to cluster the data. The evaluation results show that our testbed can judge the human situation by using delta, theta, gamma and alpha brain waves.
2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)