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An Approach to Emotion Identification Using Human Gait

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 336))

Abstract

Human gait data have abundant information for recognition of actions, intentions, emotions, and gender. The paper presents an approach toward classification of human emotions using gait data into three classes: happy, angry, and normal. Data of human gait for 3 emotional expressions (happy, angry, and neutral) of 25 individuals were collected. The silhouette was divided into 9 segments in order to analyze motion in various body parts moving with different frequency. The features such as centroid, aspect ratio, and orientation were extracted from different segments using geometric and Krawtchouk moments, respectively. A train model was generated from testing data using support vector machines (SVM), and hence, new feature vector was classified into three classes. The results show that polynomial kernel using geometric moment features has the maximum recognition rate of 83.06 %.

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Authors and Affiliations

  1. National Institute of Technology Meghalaya, Shillong, India

    Deepjoy Das

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  1. Deepjoy Das
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Correspondence to Deepjoy Das .

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Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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Das, D. (2015). An Approach to Emotion Identification Using Human Gait. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_13

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_13

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

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