Presentation information

General Session

General Session » GS-10 AI application

[3F2-GS-10j] AI応用:QoL

Thu. Jun 10, 2021 11:00 AM - 12:40 PM Room F (GS room 1)

座長:水本 智也(フューチャー(株))

11:20 AM - 11:40 AM

[3F2-GS-10j-02] Sleep Quality Assessment Considering Individual Differences Using Variational Domain Adversarial Neural Network

〇Shunya Ishimaru1, Masayuki Numao2, Ken-ichi Fukui2 (1. Graduate School of Information Science and Technology, Osaka University, 2. The Institute of Scientific and Industrial Research, Osaka University)

Keywords:Deep Learning, Domain Adaptation, Sleep Quality Assessment

Sleep quality assessment as an indicator of daily health care takes important roles in our activity. Existing sleep assessment method based on sleep environment sound didn’t consider individual, environmental differences. We need to construct sleep model considering individual, environmental differences for practical sleep measurement. In this study, we proposed a new sleep quality assessment method using deep learning. Results showed that this propsed method worked better than existing sleep assessment method based on sleep environment sound for new subjects and same subjects.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.