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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.

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Metadaten
Author:Maksym GaidukORCiD, Ralf SeepoldORCiDGND, Eva Rodríguez de Trujillo
URL:https://www.shl-bw.de/home/aktuelles/detail-neuigkeiten/news/detail/smart-day-zeigt-wirkung-1-fachtagung-in-villingen-schwenningen-mit-grosser-resonanz/
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:Bio-vital data; Non-invasive sleep study; Sleep positions; Sleep study
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)