Artificial Intelligence Based Skin Classification Using GMM |
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Authors: | M. Monisha A. Suresh M. R. Rashmi |
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Affiliation: | 1.Department of Electronic Engineering,Seoul National University of Science and Technology,Seoul,South Korea;2.Department of Electronic & IT Media Engineering,Seoul National University of Science and Technology,Seoul,South Korea |
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Abstract: | The number of computer game users is increasing as computers and various IT devices in connection with the Internet are commonplace in all ages. In this research, in order to find the relevance of behavioral activity and its associated biosignal, biosignal changes before and after as well as during computer games were measured and analyzed for 31 subjects. For this purpose, a device to measure electrocardiogram, photoplethysmogram and skin temperature was developed such that the effect of motion artifacts could be minimized. The device was made wearable for convenient measurement. The game selected for the experiments was League of Legends?. Analysis on the pulse transit time, heart rate variability and skin temperature showed increased sympathetic nerve activities during computer game, while the parasympathetic nerves became less active. Interestingly, the sympathetic predominance group showed less change in the heart rate variability as compared to the normal group. The results can be valuable for studying internet gaming disorder. |
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