Name
Title | ||
|---|---|---|
Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean-Shift Clustering Approach Considering Delta Type of Brain Waves. |
Abstract | ||
|---|---|---|
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 theta type of brain waves. We used MindWave 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 tesbed can judge the human situation by using theta waves. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-65636-6_6 | ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2017 |
Keywords | Field | DocType |
Internet of Things,Testbed,Raspberry Pi,Raspbian,MindWave Mobile,Mean-shift,Theta type | Delta,Delta wave,Computer science,Internet of Things,Testbed,Real-time computing,Artificial intelligence,Mean-shift,Cluster analysis,Mobile telephony,Distributed computing,The Internet | Conference |
Volume | ISSN | Citations |
8 | 2367-4512 | 0 |
PageRank | References | Authors |
0.34 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masafumi Yamada | 1 | 1 | 3.81 |
| Miralda Cuka | 2 | 18 | 12.97 |
| Yi Liu | 3 | 162 | 26.51 |
| Kevin Bylykbashi | 4 | 3 | 6.44 |
| Keita Matsuo | 5 | 212 | 55.01 |
| Leonard Barolli | 6 | 1179 | 144.22 |