Publication: I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior
| dc.contributor.author | Supakit Dhamchatsoontree | en_US |
| dc.contributor.author | Chaiyapat Sirisin | en_US |
| dc.contributor.author | Monika Proncharoensukkul | en_US |
| dc.contributor.author | Konlakorn Wongpatikaseree | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2020-01-27T08:18:19Z | |
| dc.date.available | 2020-01-27T08:18:19Z | |
| dc.date.issued | 2019-10-01 | en_US |
| dc.description.abstract | © 2019 IEEE. Sleeping is a naturally mechanism of body for help to repair the body. However, to monitor the sleep quality is not an easy task. In this research, we purpose sleep detection system, which can classify sleep postures and calculate Sleep Quality Index (SQI). Pressure sensing sensor, called i-Sleep sensor, with 48 embedded force sensors has been created in order to classify the sleep postures, several machine learning algorithms were adopted to classify the sleep posture. From the experiment, the successful rate of sleep posture detection is 86.7%. Finally, web application was implemented to show the real-Time data, and sleep quality index in each day. | en_US |
| dc.identifier.citation | Proceedings of 2019 4th International Conference on Information Technology: Encompassing Intelligent Technology and Innovation Towards the New Era of Human Life, InCIT 2019. (2019), 144-148 | en_US |
| dc.identifier.doi | 10.1109/INCIT.2019.8912047 | en_US |
| dc.identifier.other | 2-s2.0-85076758038 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/50606 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076758038&origin=inward | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Decision Sciences | en_US |
| dc.subject | Medicine | en_US |
| dc.title | I-Sleep: Intelligent Sleep Detection System for Analyzing Sleep Behavior | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076758038&origin=inward | en_US |