Physiological Stress Level Estimation Based on Smartphone Logs

Naoki Yamamoto, Keiichi Ochiai, Akiya Inagaki, Yusuke Fukazawa, Masatoshi Kimoto, Kazuki Kiriu, Kouhei Kaminishi, Jun Ota, Tsukasa Okimura, Yuri Terasawa, Takaki Maeda

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Recently, inferring the state of people's mental health via passive mobile sensing has attracted significant attention. Previous studies have used the self-assessed stress levels as the ground truth; however, these are subjective measures. In this study, we use a physiologically-assessed stress metric to minimize the effect of participant subjectivity and further estimate it using behavioral features based on the smartphone usage logs. We initially requested the study participants (39 participants) to attach heart rate sensors for 8 hours per day and simultaneously collected continuous heart rate data and smartphone logs for 42 days. Further, we divided the participants into four types via clustering using the behavioral features derived from their smartphone sensor logs and trained each model via supervised learning using the heart rate data as the ground truth. Our results exhibit that the proposed method is more accurate (71%) as compared to the baseline method (54%). This demonstrates that physiologically-assessed stress levels can be estimated based on the implicit features that are gathered from the smartphone logs.

本文言語English
ホスト出版物のタイトル2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9784907626341
DOI
出版ステータスPublished - 2019 2 26
イベント11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 - Auckland, New Zealand
継続期間: 2018 10 52018 10 8

出版物シリーズ

名前2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018

Conference

Conference11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
CountryNew Zealand
CityAuckland
Period18/10/518/10/8

ASJC Scopus subject areas

  • Computer Networks and Communications

フィンガープリント 「Physiological Stress Level Estimation Based on Smartphone Logs」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル