Author: Nakagawa, C.; Watanabe, T.; Akiu, N.; Suzuki, A.
Title: Detection of Deviations from a Calm State of Mind Using Respiratory Waveforms and HRV - Aiming to Grasp the Driver’s Condition Remotely Cord-id: dqskh00c Document date: 2021_1_1
ID: dqskh00c
Snippet: It is important for drivers who are responsible for the lives of passengers to remain in a calm state of mind and body suitable for driving. The objective of this study is to grasp the driver’s state by using physiological data that can be continuously and relatively easily measured. To provide support in a timely manner, changes in the driver’s state must be detected with high time resolution and reliability. The spread of Covid-19 across the world has emphasized the importance of technolog
Document: It is important for drivers who are responsible for the lives of passengers to remain in a calm state of mind and body suitable for driving. The objective of this study is to grasp the driver’s state by using physiological data that can be continuously and relatively easily measured. To provide support in a timely manner, changes in the driver’s state must be detected with high time resolution and reliability. The spread of Covid-19 across the world has emphasized the importance of technology to remotely monitor physiological conditions in real time and provide support. This study attempted to improve the accuracy of estimation by using the appropriate indices for individuals. Specifically, we tried to estimate the tension state of drivers using both respiration-wave and ECG data. The results demonstrated that different individuals have different valid indicators and it is possible to improve the accuracy of estimation by using the appropriate indices for each individual. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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