Facial expression recognition: a review
Facial expression recognition has become a hot issue in the field of artificial intelligence. So,
we collect literature on facial expression recognition. First, methods based on machine …
we collect literature on facial expression recognition. First, methods based on machine …
Smart assistive system for visually impaired people obstruction avoidance through object detection and classification
Recent progress in innovation is making the life prosper, simpler and easier for common
individual. The World Health Organization (WHO) statistics indicate that a large amount of …
individual. The World Health Organization (WHO) statistics indicate that a large amount of …
Exploration of deep learning models for localizing bare-hand in the practical environment
Detection and tracking of the bare-hand are vital for gesture-based human–computer
interaction systems. To detect and track the bare-hand efficiently in successive frames is …
interaction systems. To detect and track the bare-hand efficiently in successive frames is …
End-to-end bare-hand localization system for human–computer interaction: a comprehensive analysis and viable solution
Accurately localizing bare-hands is crucial for human–computer interaction systems. In real-
time systems, computational time plays a pivotal role in achieving this task within a specified …
time systems, computational time plays a pivotal role in achieving this task within a specified …
Iris segmentation for non-ideal Iris biometric systems
At present, iris recognition systems are highly demanded for covert applications such as
monitoring terrorist activities at public places, walk-through portals, smart cities, etc. In …
monitoring terrorist activities at public places, walk-through portals, smart cities, etc. In …
Landmark-aware and part-based ensemble transfer learning network for static facial expression recognition from images
R Wadhawan, TK Gandhi - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Facial expression recognition from images is a challenging problem in computer vision
applications. Convolutional neural network (CNN), the state-of-the-art method for various …
applications. Convolutional neural network (CNN), the state-of-the-art method for various …
Multimedia image data analysis based on knn algorithm
R Li, S Li - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
In order to improve the authenticity of multispectral remote sensing image data analysis, the
KNN algorithm and hyperspectral remote sensing technology are used to organically …
KNN algorithm and hyperspectral remote sensing technology are used to organically …
A selective region-based detection and tracking approach towards the recognition of dynamic bare hand gesture using deep neural network
Complexities such as variations in pose, scale, speed, illumination, occlusion, etc., in
detecting the gesture object at the first frame and tracking it in a dynamic environment make …
detecting the gesture object at the first frame and tracking it in a dynamic environment make …
Gesture objects detection and tracking for virtual text entry keyboard interface
Detection and tracking of the gesturing object is a vital stage in the field of dynamic gesture
recognition. It becomes more challenging in the practical environment due to the variation in …
recognition. It becomes more challenging in the practical environment due to the variation in …
Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review
M Mohana, P Subashini - SN Computer Science, 2024 - Springer
In the contemporary era, Facial Expression Recognition (FER) plays a pivotal role in
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …
numerous fields due to its vast application areas, such as e-learning, healthcare, marketing …