Exer-NN: CNN-Based Human Exercise Pose Classification

MW Hasan, J Ferdosh Nima, N Sultana… - … Technologies in Data …, 2021 - Springer
To enjoy the glow of good health, you must exercise [Gene Tunney], because it helps us to
feel happier, increase energy levels, reduce chronic disease and helps us to keep our brain …

Assessment of rehabilitation exercises from depth sensor data

SH Chowdhury, M Al Amin… - … on Computer and …, 2021 - ieeexplore.ieee.org
Assessing the rehabilitation exercises are essential in the recovery and treatment of various
musculoskeletal conditions following surgery. According to reports, over 90% of all …

Designing an AI-assisted toolbox for fitness activity recognition based on deep CNN

A Bidaran, S Sharifian - 2021 12th International Conference on …, 2021 - ieeexplore.ieee.org
Online applications for virtual meetings have be-come handy for many fitness instructors
these days. However, currently used applications have limitations in tracking clients' …

Comparison of OpenPose and HyperPose artificial intelligence models for analysis of hand-held smartphone videos

F Zhang, P Juneau, C McGuirk, A Tu… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Movement assessments are invaluable in clinical practice. However, the feasibility of in-
person evaluation has been greatly affected due to the COVID-19 pandemic. To overcome …

Automated rehabilitation exercise assessment by genetic algorithm-optimized CNN

MJ Raihan, MAR Ahad, AA Nahid - 2021 Joint 10th …, 2021 - ieeexplore.ieee.org
Every year, the number of motor dysfunction patients has been rising. These patients require
physical therapy and continuous observation and assessment of their exercises by a …

Real-time yoga pose detection using opencv and mediapipe

I Chaudhary, NT Singh, M Chaudhary… - 2023 4th International …, 2023 - ieeexplore.ieee.org
In this era of advanced technology, where everything is going online, from shopping to
education, there may be ways to get an automated, personalised trainer and mentor for yoga …

Enhancing automated lower limb rehabilitation exercise task recognition through multi-sensor data fusion in tele-rehabilitation

A Ettefagh, A Roshan Fekr - BioMedical Engineering OnLine, 2024 - Springer
Background Tele-rehabilitation is the provision of physiotherapy services to individuals in
their own homes. Activity recognition plays a crucial role in the realm of automatic tele …

Non-face-to-face online home training application study using deep learning-based image processing technique and standard exercise program

Y Shin, H Lee, J Kim, D Kwon, S Lee… - The Journal of the …, 2021 - koreascience.kr
Recently, with the development of AR, VR, and smart device technologies, the demand for
services based on non-face-to-face environments is also increasing in the fitness industry …

On the accuracy of low-cost motion capture systems for range of motion measurements

K Yu, R Barmaki, M Unberath, A Mears… - Medical Imaging …, 2018 - spiedigitallibrary.org
In this paper, we study low-cost motion tracking systems for range of motion (RoM)
measurements in the tele-rehabilitation context using Augmented Reality. We propose …

Recognizing physiotherapy exercises using machine learning

J Kanungo, D Mane, P Mahajan… - … Conference on Trends …, 2023 - ieeexplore.ieee.org
Physiotherapy, which is also referred to as physical therapy (PT) is a healthcare profession
that is primarily concerned with correcting or physiotherapy aims to improve mobility and …