Yoga meets intelligent internet of things: recent challenges and future directions

R Pal, D Adhikari, MBB Heyat, I Ullah, Z You - Bioengineering, 2023 - mdpi.com
The physical and mental health of people can be enhanced through yoga, an excellent form
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …

[HTML][HTML] A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision

TS Ashwin, V Prakash, R Rajendran - Computers and Education: Artificial …, 2023 - Elsevier
The computer vision applications in intelligent tutoring systems (ITS) have enabled its use in
various domains such as dance and sports. The adaptation in the tutoring system is based …

Deep learning models for yoga pose monitoring

D Swain, S Satapathy, B Acharya, M Shukla… - Algorithms, 2022 - mdpi.com
Activity recognition is the process of continuously monitoring a person's activity and
movement. Human posture recognition can be utilized to assemble a self-guidance practice …

A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies

A Nogales, M Rodríguez-Aragón… - Computers in Biology …, 2024 - Elsevier
Physiotherapy is a critical area of healthcare that involves the assessment and treatment of
physical disabilities and injuries. The use of Artificial Intelligence (AI) in physiotherapy has …

Analyzing yoga pose recognition: A comparison of MediaPipe and YOLO keypoint detection with ensemble techniques

D Debalaxmi, DK Vishwakarma… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The practice of yoga encompasses mental, physical, and spiritual dimensions, aiming for
holistic wellbeing. Accurate alignment in yoga enhances the effectiveness of each pose by …

Yoga pose monitoring system using deep learning

D Swain, S Satapathy, P Patro, AK Sahu - 2022 - researchsquare.com
Activity recognition is the process of continuously monitoring a person's activity and
movement. Human posture recognition can be utilized to assemble a self-guidance practice …

Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder

D Ekambaram, V Ponnusamy - Journal of Real-Time Image Processing, 2024 - Springer
Exercise therapy is a prominent method for recovering from musculoskeletal disorders like
Work-related Musculoskeletal Disorder (WMSD), Classroom-related Musculoskeletal …

Modeling of upper limb and prediction of various yoga postures using artificial neural networks

MA Bennet, OP Mishra… - … on Sustainable Computing …, 2023 - ieeexplore.ieee.org
Regularly monitoring the movement and activity of a person is called activity recognition.
Self-guided framework to practice yogasana makes individuals to learn correctly and …

[HTML][HTML] CNN 1D: A Robust Model for Human Pose Estimation

MH Cruz, U Solache, A Luna-Álvarez… - Information, 2025 - mdpi.com
The purpose of this research is to develop an efficient model for human pose estimation
(HPE). The main limitations of the study include the small size of the dataset and confounds …

MR-STGN: Multi-Residual Spatio Temporal Graph Network Using Attention Fusion for Patient Action Assessment

Y Mourchid, R Slama - 2023 IEEE 25th International Workshop …, 2023 - ieeexplore.ieee.org
Accurate assessment of patient actions plays a crucial role in healthcare as it contributes
significantly to disease progression monitoring and treatment effectiveness. However …