| 研究実績の概要 |
In 2017 fiscal year, our research was focused mainly on the two aspects, modeling Cyber-I personal and psychological characteristics, and figuring out the quality of data from multiple devices.
By fusing personal data from various sources, we studied how to compute human personality. Instead of calculating personality traits from personal data directly, an approach to a personality model derived from the theories of Carl Gustav Jung was used to measure a human subject’s persona. We further studied how personality traits, behaviors and emotions are associated with each other states based on physiological data collected from three wearable devices, Emotive Insight, Spire Stone and Huawei Fit Watch.
Because different datasets were from various sensing sources, we did a lot of experiments and stochastic analyses on the data quality from multiple devices including smartphone and wearables. By taking into account temporal features, we propose two typical models, which provide statistical methods for describing time discrepancy and its distribution. The proposed models can be used to not only guarantee the completeness of the data, but also reduce redundancy for further research on the time synchronization of data from multiple wearable devices.
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