Abstract
We propose a simple method for measuring group sleepiness, aiming at making clear how the environmental factor affects such sleepiness. A unit to measure the angle of head slant and the acceleration of head moving was attached to one side of ears with a bandana. A video interface was also developed to display how many students in a classroom are awake, felling sleepiness, or sleeping with the corresponding colors. The experiments showed the existence of some different patterns in the way of falling asleep. We revealed that level prediction of group sleepiness is easier than that of individual sleepiness. Indeed, the standard error was reduced from 0.695 (for individual) into 0.423 (for group), showing almost perfect prediction of sleepiness level of a group of five persons.
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Papadelis, C., Kourtidou-Papadeli, C., Bamidis, P.D., Chouvarda, I., Koufogiannis, D., Bekiaris, E., Maglaveras, N.: Indicators of Sleepiness in an ambulatory EEG study of night driving. Eng. Med. Biol. Soc. 1, 6201–6204 (2006)
Chieh, T.C., Mustafa, M.M., Hussain, A., Hendi, S.F., Majlis, B.Y.: Development of vehicle driver drowsiness detection system using electrooculogram (EOG). In: Signal Processing with Special Track on Biomedical Engineering, pp. 165–168 (2005)
Norihisa, F., Yoshinori, T., Noboru, O.: Detection of sleeping students using video images. Forum Inf. Technol. 4, 307–308 (2002). (In Japanese)
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© 2014 Springer International Publishing Switzerland
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Nishikawa, K., Kudo, M. (2014). Group Sleepiness Measurement in Classroom. In: Mazzeo, P., Spagnolo, P., Moeslund, T. (eds) Activity Monitoring by Multiple Distributed Sensing. AMMDS 2014. Lecture Notes in Computer Science(), vol 8703. Springer, Cham. https://doi.org/10.1007/978-3-319-13323-2_6
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DOI: https://doi.org/10.1007/978-3-319-13323-2_6
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