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A Survey on Emotion’s Recognition Using Internet of Things

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First International Conference on Artificial Intelligence and Cognitive Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 815))

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Abstract

Emotions play an important role in human life, because the emotions allow other people to understand the feelings. Emotions are obtained due to some physiological changes in human. When a person is in a situation where he is unable to speak, then their emotions can be used to understand the feelings. By using Internet of things, the emotions are going to be detected. In the first step, the sensors are placed on the human body. These sensors will capture the data, and real-time monitoring can be done. The data which is collected from the sensors is used for the emotion detection. Here the different works on IoT which is used for human emotions capturing and detection have been discussed. The analysis of these emotions will give significant results for various frame of mind of a person.

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References

  1. S. M. Rizul Eslami, Daehanquack, MD.Humanu kabir.: The Internet of Things for Health Care: A Comprehensive Survey, IEEE Transaction, page: 678–708, June 1 2015.

    Google Scholar 

  2. C. Jr. Arcadius Tokognon, Bin Gao,: Structural Health Monitoring Framework Based on Internet of Things: A Survey, IEEE Internet of Things Journal, Volume: 4, No. 3, page: 619–635, June 2017.

    Google Scholar 

  3. Binbin Yong, Zijian Xu, Xin Wanga, Libin Cheng, Xue Li, Xiang Wu, Qingguo Zhou.: IoT-based intelligent fitness system, Elsevier Inc 2017.

    Google Scholar 

  4. Usman Raza, Parag Kulkarni, and Mahesh Sooriyabandara.: Low Power Wide Area Networks: An Overview, IEEE Wireless Communications Letters, page: 1–19,2017.

    Google Scholar 

  5. A. Haag, S. Goronzy, P. Schaich, and J. Williams,: Emotion Recognition Using Bio-Sensors: First Steps Towards an Automatic System, Proc. Ninth Int’l Conf. Reliable Software Technologies, page: 36–48, 2004.

    Google Scholar 

  6. Jonghwa Kim,: Emotion Recognition Based on Physiological Changes in Music Listening, IEEE Transitions on pattern analysis and machine intelligence, Volume: 30, No. 12, page: 2067–2083, December 2008.

    Google Scholar 

  7. Jennifer A. Healey and Rosalind W. Picard.: Detecting Stress During Real-World Driving Tasks Using Physiological Sensors, IEEE Transactions on Intelligent Transportation Systems, Volume: 6, Issue: 2, page: 156–166, June 2005.

    Google Scholar 

  8. Max Welling.: Fisher Linear Discriminant Analysis, www.ics.uci.edu. 2005.

  9. Kuldipk. Paliwal and Alok Sharma.: Improved Pseudoinverse Linear Discriminant Analysis method for Dimensionality Reduction, International Journal of Pattern Recognition and Articial Intelligence Vol. 26, No. 1, 2012.

    Google Scholar 

  10. Philippe Arlotto, Michel Grimaldi, Roomila Naeck and Jean-Marc Ginoux.: An UltrasonicContactless Sensor for Breathing Monitoring, www.mdpi.com/journal/sensors, article on sensors ISSN 1424–8220.

  11. Vlasios Tsiatsis, Catherine Mulligan, Stamatics Karnouskos, David Boyle.: Machint-to-Machine to the Internet of Things Introduction to a new age of Intelligence, Esilver Ltd, 2014.

    Google Scholar 

  12. Carlos Busso, Zhigang Deng, Serdar Yildirim, Murtaza Bulut, Chul Min Lee,Abe Kazemzadeh, Sungbok Lee, Ulrich Neumann, Shrikanth Narayanan.: Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information, 6th International Conference on Multimodal Interfaces, ICMI 2004.

    Google Scholar 

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Correspondence to K. P. L. Sai Supriya .

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Sai Supriya, K.P.L., Ravinder Reddy, R., Rama Devi, Y. (2019). A Survey on Emotion’s Recognition Using Internet of Things. In: Bapi, R., Rao, K., Prasad, M. (eds) First International Conference on Artificial Intelligence and Cognitive Computing . Advances in Intelligent Systems and Computing, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-13-1580-0_31

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