Analysis of Human Autonomic Nervous Activity Based on Big Data Measurement via SmartPhone

This study used a large amount of autonomic nervous system data to investigate the relationship between autonomic nervous system and activity, day of the week, and region. Data was measured via a heart rate variability analysis system that utilizes the camera of smartphones [8]. This system was developed by the authors during previous research. As for as the relationship between autonomic nervous system and activity, total power and sympathetic nervous activity were found to rise after waking, while during leisure time, it was found that total power rises and sympathetic nervous activity is inhibited. Concerning the relationship between autonomic nervous system and day of the week, it was found that total power decreases from the middle through the latter part of the week (namely, Wednesday, Thursday, and Friday), while it rises on Saturday. What's more, sympathetic nervous activity is suppressed on Saturday. Regarding the relationship between autonomic nervous system and region, it was found that total power is lower in the Kanto region than in others. Regarding weather conditions, the results showed a trend in which a significant decrease was seen in sympathetic nervous activity the higher the temperature. In addition, a significant increase was seen in the sympathetic nervous system the higher the atmospheric pressure. Lastly, a significant decrease was seen in the sympathetic nervous system the more precipitation there was. These results accord with prior research and with human biological phenomena, and we were able to use big data to statistically demonstrate our hypothesis.