Extraction of Mental Stress Scene in Driving Car by Wearable Heart Rate Sensor

Yasushi Mae, Ryu Yuki, Masaru Kojima, Tatsuo Arai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Personalized service based on personal states depending on situation and physiological inner states of person will be effective for supporting human activities and improving quality of life. Physiological states of user such as heart rate will change depending on the user's situation. Driving car is one of usual scenes in everyday life. As a physiological sensing in everyday life, user's heart rate in driving is measured and analyzed. For example, user's heart rate increases when user is in scenes mentally stressed such as collision and near-miss. Such physiological featuring scenes in driving are extracted based on measured heart rate data. In the experiments, dangerous scenes such as collision and near-miss scenes are extracted from measured heart rate data with a wearable sensor in driving simulator. Furthermore, personal differences of temporal changes of mental stress index: LF/HF are discussed based on the measurement in driving simulator.

Original languageEnglish
Title of host publication2018 International Conference on Intelligence and Safety for Robotics, ISR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages480-485
Number of pages6
ISBN (Electronic)9781538655467
DOIs
Publication statusPublished - 14 Nov 2018
Event2018 International Conference on Intelligence and Safety for Robotics, ISR 2018 - Shenyang, China
Duration: 24 Aug 201827 Aug 2018

Publication series

Name2018 International Conference on Intelligence and Safety for Robotics, ISR 2018

Conference

Conference2018 International Conference on Intelligence and Safety for Robotics, ISR 2018
Country/TerritoryChina
CityShenyang
Period24/08/1827/08/18

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