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has been cited by the following article:

• TITLE: On Human Autonomic Nervous Activity Related to Weather Conditions Based on Big Data Measurement via Smartphone

  AUTHORS: Makoto Komazawa, Kenichi Itao, Hiroyuki Kobayashi, Zhiwei Luo

  KEYWORDS: Heart Rate Variability, Autonomic Nervous System, Large Amount of Measurement Data, Weather

  JOURNAL NAME: Health, Vol.8 No.9, June 24, 2016

  ABSTRACT: This research uses our previously-developed smartphone camera-based heart rate change analysis system to survey the correlation between weather patterns and the autonomic nervous activity across a big data set of approximately 200,000 entries. The results showed a trend in which a significant decrease was seen in sympathetic nervous activity in both males and females—the higher the temperature. In addition, a significant increase was seen in the sympathetic nervous system in both males and females—the higher the atmospheric pressure. Lastly, a significant decrease was seen in the sympathetic nervous system in both males and females—the more precipitation there was. These results accord with prior research and with human biological phenomena, and we were able to use a data set of approximately 200,000 entries to statistically demonstrate our hypothesis. We believe this represents a valuable set of reference data for use in the health care.