2019 journal article
Designing of smart chair for monitoring of sitting posture using convolutional neural networks
DATA TECHNOLOGIES AND APPLICATIONS, 53(2), 142–155.
author keywords: Deep learning; Data classification; IoT application; Convolutional neural network; Sensing cushion; Sitting posture classification
TL;DR:
This study confirmed the applicability of the CNN-based algorithm that can be applied to the smart chair to support the correct posture in children and performed the posture classification of children using CNN technique, which has not been used in related studies.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: August 26, 2019
Purpose Sitting in a chair is a typical act of modern people. Prolonged sitting and sitting with improper postures can lead to musculoskeletal disorders. Thus, there is a need for a sitting posture classification monitoring system that can predict a sitting posture. The purpose of this paper is to develop a system for classifying children’s sitting postures for the formation of correct postural habits.