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DIY-PressMat: A Smart Sensor Mat for Posture Detection Applicable for Bed-exit Intention Detection, Pressure Ulcer Prevention, and Sleep Apnea Mitigation

 
: Matthies, Denys J.C.; Haescher, Marian; Chodan, Wencke; Bieber, Gerald

:
Fulltext urn:nbn:de:0011-n-6425051 (5.1 MByte PDF)
MD5 Fingerprint: 593ecce20822822ed58c278b914363e4
Created on: 27.10.2021


Association for Computing Machinery -ACM-:
14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 : June 29 - July 1, 2021, Virtual Conference
New York: ACM, 2021
ISBN: 978-1-4503-8792-7
pp.76-80
International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) <14, 2021, Online>
English
Conference Paper, Electronic Publication
Fraunhofer IGD, Institutsteil Rostock ()
hardware; Lead Topic: Individual Health; Research Line: Human computer interaction (HCI); smart devices; applications for pervasive computing; user intention analysis

Abstract
In this research, we present a proof-of-concept Do-It-Yourself (DIY) bed sensor mat that is capable to detect five user postures, including: Supine position, Prone position, Lateral position (left), Lateral position (right), and Sitting. Our prototype incorporates two types of sensors: Pressure Tiles and Capacitive Sensing. To gain an impression on the accuracy, we conducted a study with 11 participants and developed a machine learning model showing accuracy of 85% for an unknown user. In fact, nocturnal postures extend to a third of ones lifetime and therefore, a posture detection can be particularly interesting. Enabled application scenarios include pressure ulcer prevention, bed-exit intention detection, diabetes detection, and sleep apnea mitigation.

: http://publica.fraunhofer.de/documents/N-642505.html