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Smart-Cover: A Real time sitting posture monitoring system.

Anwary, A.R., Cetinkaya, D., Michael, V. and Hamid, B., 2021. Smart-Cover: A Real time sitting posture monitoring system. Sensors and Actuators A: Physical, 317 (January), 112451.

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DOI: 10.1016/j.sna.2020.112451

Abstract

Prolonged asymmetrical sitting is common and can exacerbate musculoskeletal back pain and spinal deformities. Monitoring sitting posture can help maintain correct posture and prevent health problems. Currently posture is assessed by expert clinicians using subjective visual observation. More objective methods involve the use of a gold-standard motion capture system in Laboratories, which is expensive and not widely available. We develop a Smart-Cover, an automatic system to provide real time visualization and information about sitting posture. A Sitting Pressure Sensor (SPS) is built using Velostat, conductive fabric and foam to collect pressure distribution information within the seat surface. The data are collected from 10 healthy young subjects where each subject sits for 30 minutes and are transferred to a cloud server using Internet-of-Things (IoT). A rule-based classifier is used to provide timely notification to users about sitting duration and level of asymmetry. A new end-point device application is developed to show sitting balance. Dial based displays show level of asymmetry, active and static sitting, and daily summary score. Our system is user friendly, inexpensive, automatic and quantitative method for evaluating posture in real time, which has the capability of providing quantitative information about sitting behaviour. The results show that our system can be used for objective monitoring of sitting posture which has medical and social benefits. Smart-Cover can support the management of patients during their rehabilitation by monitoring pressure areas and balance when seated. In addition, it offers users at home, schools and offices the means to improve their sitting posture.

Item Type:Article
ISSN:0924-4247
Uncontrolled Keywords:Wearable Sensors; Prolonged Sitting; Sitting Disease; Posture Monitoring; Pressure Sensors; Sitting Asymmetry; Internet of Things; Fuzzy Classifier.
Group:Faculty of Science & Technology
ID Code:34891
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:26 Nov 2020 14:39
Last Modified:02 Mar 2021 14:55

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