Effective napping support system by hypnagogic time estimation based on heart rate sensor

Daichi Nagata, Yutaka Arakawa, Takatomi Kubo, Keiich Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In daily life, lack of sleep is one of the main reasons for poor concentration. To support an effective napping, considered as one of good methods for recovering insufficient sleep and enhancing a user's concentration, we propose a hypnagogic time estimation using a heart rate sensor. Because a heart rate sensor has already been common, our method can be used widely and easily in our daily life. Most of existing sleep support systems aim to provide a comfortable wake-up by observing the sleep stage. Unlike these methods, we aim to provide an appropriate sleep duration by estimating a hypnagogic timing. By using various heart rate sensors, existing sleep support systems and 64ch electroencephalography, we tried to find out the relationship between various vital signals and sleep stages during a napping. Finally, we build a hypnagogic time estimation model by using the machine learning technique.

Original languageEnglish
Title of host publicationProceedings of the 6th Augmented Human International Conference, AH 2015
PublisherAssociation for Computing Machinery
Pages201-202
Number of pages2
ISBN (Electronic)9781450333498
DOIs
Publication statusPublished - Mar 9 2015
Externally publishedYes
Event6th Augmented Human International Conference, AH 2015 - Singapore, Singapore
Duration: Mar 9 2015Mar 11 2015

Publication series

NameACM International Conference Proceeding Series
Volume11

Conference

Conference6th Augmented Human International Conference, AH 2015
CountrySingapore
CitySingapore
Period3/9/153/11/15

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Nagata, D., Arakawa, Y., Kubo, T., & Yasumoto, K. (2015). Effective napping support system by hypnagogic time estimation based on heart rate sensor. In Proceedings of the 6th Augmented Human International Conference, AH 2015 (pp. 201-202). (ACM International Conference Proceeding Series; Vol. 11). Association for Computing Machinery. https://doi.org/10.1145/2735711.2735808