Loading [a11y]/accessibility-menu.js
Using Eeg Brainwaves And Deep Learning Method For Learning Status Classification | IEEE Conference Publication | IEEE Xplore

Using Eeg Brainwaves And Deep Learning Method For Learning Status Classification


Abstract:

This study is conducted specifically to measure human's brain waves; the evaluation is built based on the energy of watching a video. Brainwave reflects the change in ele...Show More

Abstract:

This study is conducted specifically to measure human's brain waves; the evaluation is built based on the energy of watching a video. Brainwave reflects the change in electrical potential resulting from the conjunction between the thousands of brain neurons. A neuron can receive signals from other neurons and starts off cyclic discharge reaction when sufficient energy is accumulated. That is also the reason why people persistently emit brainwaves. However, for some people rely on their brain to deal with many things and it may lead to learning status. The learning status includes good, questionable and bad. In this paper, we aim to classify their learning status by conducting choices in the system to be chosen when users watching to the video. Users need to click choices in the system. Then, using deep learning to predict their learning status through the experiments. The experimental results indicated this method is valuable for learning status predication.
Date of Conference: 15-18 July 2018
Date Added to IEEE Xplore: 11 November 2018
ISBN Information:

ISSN Information:

Conference Location: Chengdu, China

References

References is not available for this document.