Review of three-dimensional human-computer interaction with focus on the leap motion controller
D Bachmann, F Weichert, G Rinkenauer - Sensors, 2018 - mdpi.com
Modern hardware and software development has led to an evolution of user interfaces from
command-line to natural user interfaces for virtual immersive environments. Gestures …
command-line to natural user interfaces for virtual immersive environments. Gestures …
[HTML][HTML] COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
Facial expression recognition with convolutional neural networks: coping with few data and the training sample order
Facial expression recognition has been an active research area in the past 10 years, with
growing application areas including avatar animation, neuromarketing and sociable robots …
growing application areas including avatar animation, neuromarketing and sociable robots …
A comprehensive review of deep learning-based methods for COVID-19 detection using chest X-ray images
SS Alahmari, B Altazi, J Hwang, S Hawkins… - Ieee …, 2022 - ieeexplore.ieee.org
The novel coronavirus disease 2019 (COVID-19) added tremendous pressure on healthcare
services worldwide. COVID-19 early detection is of the utmost importance to control the …
services worldwide. COVID-19 early detection is of the utmost importance to control the …
[HTML][HTML] Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system
L Yan, Y Shi, M Wei, Y Wu - Alexandria Engineering Journal, 2023 - Elsevier
In the field of Automatic Facial Expression Signal Recognition (AFESR) at video
communication system, the fusing feature extraction is playing an extremely important role in …
communication system, the fusing feature extraction is playing an extremely important role in …
OFF-ApexNet on micro-expression recognition system
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-
expression. Exploration of automatic facial micro-expression recognition systems is …
expression. Exploration of automatic facial micro-expression recognition systems is …
Shallow triple stream three-dimensional cnn (ststnet) for micro-expression recognition
In the recent year, state-of-the-art for facial micro-expression recognition have been
significantly advanced by deep neural networks. The robustness of deep learning has …
significantly advanced by deep neural networks. The robustness of deep learning has …
Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition
Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …
affective computing applications. In practice, achieving accurate FER is challenging due to …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Facial expression recognition using weighted mixture deep neural network based on double-channel facial images
Facial expression recognition (FER) is a significant task for the machines to understand the
emotional changes in human beings. However, accurate hand-crafted features that are …
emotional changes in human beings. However, accurate hand-crafted features that are …