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Improve Memory for Alzheimer Patient by Employing Mind Wave on Virtual Reality with Deep Learning

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 773))

Abstract

Alzheimer disease is associated with many risks, including the destruction of family morale and the loss of experience of many scientists in different areas. However, little research depending on computer science has been conducted to explore this disease. The purpose of this study is trying to find the possibility of using computer techniques to improve the therapeutic methods of Alzheimer disease. This paper elaborates the approach of using EEG signals on virtual reality environment and introducing them as a patient’s therapeutic program to improve temporary memory. The patient’s memory is rearranging based on a suitable brain signal through the theory of artificial neural network and deep learning technique so that the memory is able to be gradually improved.

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Acknowledgments

Northeastern university, China. Support this project with Neurosky and Emotiv headsets, to read EEG signal.

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Authors and Affiliations

  1. Northeastern University, Shenyang, China

    Marwan Kadhim Mohammed Al-shammari & Gao Tian Han

Authors
  1. Marwan Kadhim Mohammed Al-shammari
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  2. Gao Tian Han
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Corresponding author

Correspondence to Marwan Kadhim Mohammed Al-shammari .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Nadeem Javaid

  4. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Mohammed Al-shammari, M.K., Han, G.T. (2019). Improve Memory for Alzheimer Patient by Employing Mind Wave on Virtual Reality with Deep Learning. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2018. Advances in Intelligent Systems and Computing, vol 773. Springer, Cham. https://doi.org/10.1007/978-3-319-93554-6_39

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