Review of constraints on vision‐based gesture recognition for human–computer interaction
The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …
human–computer interaction. Gesture recognition has applications ranging from sign …
[HTML][HTML] Methods, databases and recent advancement of vision-based hand gesture recognition for hci systems: A review
Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …
with assorted applications in the human–computer communication (HCI) community. The …
Ouluvs2: A multi-view audiovisual database for non-rigid mouth motion analysis
Visual speech constitutes a large part of our nonrigid facial motion and contains important
information that allows machines to interact with human users, for instance, through …
information that allows machines to interact with human users, for instance, through …
Deep learning-based automated forest health diagnosis from aerial images
Global climate change has had a drastic impact on our environment. Previous study showed
that pest disaster occured from global climate change may cause a tremendous number of …
that pest disaster occured from global climate change may cause a tremendous number of …
Artificial intelligence-Enabled deep learning model for multimodal biometric fusion
The goal of information security is to prevent unauthorized access to data. There are several
conventional ways to confirm user identity, such as using a password, user name, and keys …
conventional ways to confirm user identity, such as using a password, user name, and keys …
Audio-visual biometric recognition and presentation attack detection: A comprehensive survey
Biometric recognition is a trending technology that uses unique characteristics data to
identify or verify/authenticate security applications. Amidst the classically used biometrics …
identify or verify/authenticate security applications. Amidst the classically used biometrics …
Automated blood cell detection and counting via deep learning for microfluidic point-of-care medical devices
Automated in-vitro cell detection and counting have been a key theme for artificial and
intelligent biological analysis such as biopsy, drug analysis and decease diagnosis. Along …
intelligent biological analysis such as biopsy, drug analysis and decease diagnosis. Along …
Human emotion recognition from videos using spatio-temporal and audio features
M Rashid, SAR Abu-Bakar, M Mokji - The Visual Computer, 2013 - Springer
In this paper, we present human emotion recognition systems based on audio and spatio-
temporal visual features. The proposed system has been tested on audio visual emotion …
temporal visual features. The proposed system has been tested on audio visual emotion …
Research on multimodal based learning evaluation method in smart classroom
Z Qianyi, L Zhiqiang - Learning and Motivation, 2023 - Elsevier
In traditional learning contexts, teachers primarily assess students' behavior, emotional
changes, and assignment completion to ensure teaching quality. Currently, there are …
changes, and assignment completion to ensure teaching quality. Currently, there are …
Privacy-protected facial biometric verification using fuzzy forest learning
Although visual surveillance has emerged as an effective technology for public security,
privacy has become an issue of great concern in the transmission and distribution of …
privacy has become an issue of great concern in the transmission and distribution of …