Comparing the performance of different classifiers for posture detection

S Suresh Kumar, K Dashtipour, M Gogate… - … Conference on Body …, 2021 - Springer
Abstract Human Posture Classification (HPC) is used in many fields such as human
computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This …

Analysis and Comparison of Posture Detection Using Deep Learning Algorithm

S Singhai, P Gautam, JS Kushwah… - … , Networks and Computing, 2022 - Springer
Human posture detection is the latest topic in the research field and lots of research has
been done on this topic. For research, posture detection can be used in many situations, like …

A hybrid posture detection framework: Integrating machine learning and deep neural networks

S Liaqat, K Dashtipour, K Arshad… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The posture detection received lots of attention in the fields of human sensing and artificial
intelligence. Posture detection can be used for the monitoring health status of elderly …

An expert system for classification and detection of improper posture

S Bhatlawande, A Agrawal, A Jagdale… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Posture is something that is often neglected when a person is focused on said activity and
hence there are several Artificial Intelligence based systems that have been developed to …

A novel deep transfer learning approach based on depth-wise separable CNN for human posture detection

RO Ogundokun, R Maskeliūnas, S Misra… - Information, 2022 - mdpi.com
Human posture classification (HPC) is the process of identifying a human pose from a still
image or moving image that was recorded by a digicam. This makes it easier to keep a …

Deep learning of human posture image classification using convolutional neural networks

AR Rababaah - International Journal of Computing Science …, 2022 - inderscienceonline.com
In this paper a study of deep learning applied to human posture image classification using
convolutional neural networks (CNNs) is presented. Typical computer vision workflow …

Sitting posture Analysis using CNN and RCNN

R Nishitha, T Sudhakar, JB Janney… - … Conference on Bio …, 2023 - ieeexplore.ieee.org
Based to statistics, about 80 percent of the population follows incorrect sitting posture. From
the year 2020, due to the Covid-19 curfew, the traditional work office of many professionals …

Development of a human posture recognition system for surveillance application

OF Arowolo, EO Arogunjo, DG Owolabi… - … Journal of Computing …, 2021 - journal.uob.edu.bh
A method of recognizing human posture in traditional camera images for surveillance
application is presented in this paper. Recognition of human posture using a camera has …

DeepPose: An Integrated Deep Learning Model for Posture Detection Using Image and Skeletal Data

M Singh, MSA Ansari, MC Govil - 2023 14th International …, 2023 - ieeexplore.ieee.org
Identifying human actions and postures presents significant challenges for computerized
systems. The categorization of these tasks holds particular relevance in the fields of health …

A posture recognition model dedicated for differentiating between proper and improper sitting posture with kinect sensor

LCK Chin, KS Eu, TT Tay, CY Teoh… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
In this era, most of mankind's activities are carried out on top of a desk, but they rarely bother
to sit with the right posture and this can lead to problems like back pain. In 2013, the number …