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Consumer Emotional State Evaluation Using EEG Based Emotion Recognition Using Deep Learning Approach

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Advanced Computing (IACC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1367))

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Abstract

The standard methodologies for marketing (e.g., newspaper ads and tv commercials) are not effective in selling products as they do not excite the customers to buy any specific item. These methods of advertising try to ascertain their consumers’ attitude towards any product, which might not represent the actual behavior. So, the customer behavior is misunderstood by the advertisers and start-ups because the mindsets do not represent the buying behaviors of the consumers. Previous studies reflect that there is lack of experimental work done on classification and the prediction of their consumer emotional states. In this research, a strategy has been adopted to discover the customer emotional states by simply thinking about attributes and the power spectral density using EEG-based signals. The results revealed that, though the deep neural network (DNN) higher recall, greater precision, and accuracy compared with support vector machine (SVM) and k-nearest neighbor (k-NN), but random forest(RF) reaches values that were like deep learning on precisely the similar dataset.

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Authors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Rajpura, India

    Rupali Gill & Jaiteg Singh

Authors
  1. Rupali Gill
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  2. Jaiteg Singh
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Correspondence to Rupali Gill .

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Editors and Affiliations

  1. Bennett University, Greater Noida, Uttar Pradesh, India

    Deepak Garg

  2. University College London, London, UK

    Kit Wong

  3. Missouri University of Science and Technology, Rolla, MO, USA

    Jagannathan Sarangapani

  4. Bennett University, Greater Noida, Uttar Pradesh, India

    Suneet Kumar Gupta

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Gill, R., Singh, J. (2021). Consumer Emotional State Evaluation Using EEG Based Emotion Recognition Using Deep Learning Approach. In: Garg, D., Wong, K., Sarangapani, J., Gupta, S.K. (eds) Advanced Computing. IACC 2020. Communications in Computer and Information Science, vol 1367. Springer, Singapore. https://doi.org/10.1007/978-981-16-0401-0_9

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  • DOI: https://doi.org/10.1007/978-981-16-0401-0_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0400-3

  • Online ISBN: 978-981-16-0401-0

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