Monitoring of Sitting Postures With Sensor Networks in Controlled and Free-living Environments: Systematic Review.

ABSTRACT:

Background

A majority of employees in the industrial world spend most of their working time in a seated position. Monitoring sitting postures can provide insights into the underlying causes of occupational discomforts such as low back pain.

Objective

This study focuses on the technologies and algorithms used to classify sitting postures on a chair with respect to spine and limb movements, using sensors and wearables such as inertial measurement units, pressure or piezoresistive sensors, accelerometers or gyroscopes, combined with machine learning approaches.

Methods

A total of three electronic literature databases were surveyed to identify studies classifying sitting postures in adults. Quality appraisal was performed to extract critical details and assess biases in t

SUBMITTER: Kappattanavar AM 

PROVIDER: S-EPMC11041431 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature