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Measurement of Human Concentration with Multiple Cameras

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Abstract

We propose a new method to estimate human change of concentration from multiple camera views of the human. In our method, human state of concentration is observed as self-load, defined as energy injected in a period to keep and manipulate his/her body. If a person is concentrating to a certain task, he/she will brace himself/herself for better results, and energy consumption will increase. To confirm our idea, we developed a method to calculate self-load from multiple view of the human. We conducted an experiment in which test subjects have different level of complexity of task. Self-load of the subjects showed the positive correlation with the complexity of the task. We have convinced that self-load can be used to characterize the concentration of person being observed.

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© 2005 Springer-Verlag Berlin Heidelberg

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Sumi, K., Tanaka, K., Matsuyama, T. (2005). Measurement of Human Concentration with Multiple Cameras. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_19

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  • DOI: https://doi.org/10.1007/11554028_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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