A survey of emotion recognition methods with emphasis on E-Learning environments
M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
A systematic literature review on vision based gesture recognition techniques
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …
interact with computing devices and adapting to the constantly increasing demands of …
A Survey of Cutting-edge Multimodal Sentiment Analysis
The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
Human behavior and hand gesture classification for smart human-robot interaction
This paper presents an intuitive human-robot interaction (HRI) framework for gesture and
human behavior recognition. It relies on a vision-based system as interaction technology to …
human behavior recognition. It relies on a vision-based system as interaction technology to …
Recent methods in vision-based hand gesture recognition
H Badi - International Journal of Data Science and Analytics, 2016 - Springer
The goal of static hand gesture recognition is to classify the given hand gesture data
represented by some features into some predefined finite number of gesture classes. The …
represented by some features into some predefined finite number of gesture classes. The …
Analyzing Human Speech Using Gait Recognition Technology by MFCC Technique
The practice of recognizing persons by their gait has grown increasingly popular in recent
years, for a variety of reasons. First and foremost, gait recognition is a technology that can be …
years, for a variety of reasons. First and foremost, gait recognition is a technology that can be …
Gait recognition based on the feature extraction of Gabor filter and linear discriminant analysis and improved local coupled extreme learning machine
A gait energy image contains much gait information, which is one of the most effective
means to recognize gait characteristics. The accuracy of gait recognition is greatly affected …
means to recognize gait characteristics. The accuracy of gait recognition is greatly affected …
Real time static and dynamic sign language recognition using deep learning
P Jayanthi, PRK Bhama, K Swetha… - Journal of Scientific & …, 2022 - op.niscpr.res.in
Sign language recognition systems are used for enabling communication between deaf-
mute people and normal user. Spatial localization of the hands could be a challenging task …
mute people and normal user. Spatial localization of the hands could be a challenging task …
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies
among the image labels explicitly. These models are more expressive than independent …
among the image labels explicitly. These models are more expressive than independent …
End-to-end residual neural network with data augmentation for sign language recognition
M Xie, X Ma - 2019 IEEE 4th Advanced Information Technology …, 2019 - ieeexplore.ieee.org
Sign language is a visual language used by people with hearing impairments. It can help
people achieve communication. Due to the lack of popularity of sign language, it is of great …
people achieve communication. Due to the lack of popularity of sign language, it is of great …