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Smart Learning System Based on EEG Signals

  • Aaditya SharmaEmail author
  • Swadha GuptaEmail author
  • Sawinder KaurEmail author
  • Parteek KumarEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1046)

Abstract

According to recent trends in information technology, classroom learning is transformed to Web based learning. This transformation helps learner to trigger digital technologies anywhere and anytime. This paper plan to build a system that can harness the power of the brain and build smart and meaningful applications to make life easier. The major problem is emerged during online education is loose the learner’s active attention after some duration of time. This leads to the user getting distracted without having any mechanism to provide him with a feedback, as a result, online learning is not getting as much effective as classroom learning. Therefore, EEG device is used for data acquisition, to measure EEG signals and also to monitor the attention levels of user. Proposed project will collect the EEG data to calculate various parameters such as concentration level, attention level, etc. These parameters will be used in the smart applications to provide real-time analysis and feedback to the user. This technology will provide real-time feedback user who has enrolled in MOOCs. This should foresee whether the student struggles or not while learning to give convenient alarms.

Keywords

E-learning EEG MOOCs Classroom education 

Notes

Acknowledgement

This Publication is an outcome of the R&D work undertaken in the project under the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Government of India, being implemented by Digital India Corporation (formerly Media Lab Asia).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringThapar Institute of Engineering and TechnologyPatialaIndia

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