Sleep position recognition in home environment
- This paper presents a bed system able to analyze a person’s movement, breathing and recognize the positions that the subject is lying on the bed during the night without any additional physical contact. The measurements are performed with sensors placed between the mattress and the bed-frame. An Intel Edison board was used as an endpoint that served as a communication node from the mesh network to external service. Two nodes and Intel Edison are attached to the bottom of the bed frame and they are connected to the sensors. First test results have indicated the potential of the proposed approach for the recognition of sleep positions with 83% of correct recognized positions.
| Author: | Maksym GaidukORCiD, Ralf SeepoldORCiDGND, Eva Rodríguez de Trujillo |
|---|---|
| URN: | https://www.shl-bw.de/fileadmin/documents/SmartDay/Tagungsband_Smart_Day_2018.pdf |
| Parent Title (German): | Fachtagung "Smart Day 2018", Veranstalter: Smart Home & Living Baden-Württemberg e.V., 7. Nov. 2018, Villingen-Schwenningen |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2018 |
| Release Date: | 2019/01/16 |
| Tag: | Sleep study; Bio-vital data; Non-invasive sleep study; Sleep positions |
| First Page: | 21 |
| Last Page: | 24 |
| Institutes: | Fakultät Informatik |
| Open Access?: | Ja |
| Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
