Real-time Yoga recognition using deep learning
An approach to accurately recognize various Yoga asanas using deep learning algorithms
has been presented in this work. A dataset of six Yoga asanas (ie Bhujangasana …
has been presented in this work. A dataset of six Yoga asanas (ie Bhujangasana …
Three-dimensional CNN-inspired deep learning architecture for Yoga pose recognition in the real-world environment
S Jain, A Rustagi, S Saurav, R Saini… - Neural Computing and …, 2021 - Springer
Existing techniques for Yoga pose recognition build classifiers based on sophisticated
handcrafted features computed from the raw inputs captured in a controlled environment …
handcrafted features computed from the raw inputs captured in a controlled environment …
[图书][B] Yoga pose detection and classification using deep learning
Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to
bring harmony to both body and mind with the help of asana, meditation and various other …
bring harmony to both body and mind with the help of asana, meditation and various other …
Deep motion templates and extreme learning machine for sign language recognition
Sign language is a visual language used by persons with hearing and speech impairment to
communicate through fingerspellings and body gestures. This paper proposes a framework …
communicate through fingerspellings and body gestures. This paper proposes a framework …
Multi-view hierarchical bidirectional recurrent neural network for depth video sequence based action recognition
X Liu, Y Li, Q Wang - … Journal of Pattern Recognition and Artificial …, 2018 - World Scientific
Human action recognition based on depth video sequence is an important research
direction in the field of computer vision. The present study proposed a classification …
direction in the field of computer vision. The present study proposed a classification …
Exploration of applying pose estimation techniques in table tennis
Highlights Originality/Contribution: The newly developed computer vision pose estimation
technique in artificial intelligence (AI) is an emerging technology with potential advantages …
technique in artificial intelligence (AI) is an emerging technology with potential advantages …
Deep metric learning for open-set human action recognition in videos
Human action recognition (HAR) is a topic widely studied in computer vision and pattern
recognition. Despite the success of recent models for this issue, most of them approach HAR …
recognition. Despite the success of recent models for this issue, most of them approach HAR …
[Retracted] An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
MJ Ibrahim, J Kainat, H AlSalman… - Applied Bionics and …, 2022 - Wiley Online Library
Recent advances in image processing and machine learning methods have greatly
enhanced the ability of object classification from images and videos in different applications …
enhanced the ability of object classification from images and videos in different applications …
An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos
We propose a novel video sampling scheme for human action recognition in videos, using
Gaussian Weighing Function. Traditionally in deep learning-based human activity …
Gaussian Weighing Function. Traditionally in deep learning-based human activity …
Human action recognition via skeletal and depth based feature fusion
This paper addresses the problem of recognizing human actions captured with depth
cameras. Human action recognition is a challenging task as the articulated action data is …
cameras. Human action recognition is a challenging task as the articulated action data is …