Enhancement of patient facial recognition through deep learning algorithm: ConvNet

EM Onyema, PK Shukla, S Dalal… - Journal of …, 2021 - Wiley Online Library
The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …

An end-to-end task-simplified and anchor-guided deep learning framework for image-based head pose estimation

J Li, J Wang, F Ullah - IEEE Access, 2020 - ieeexplore.ieee.org
Image-based Head Pose Estimation (HPE) from an arbitrary view is still challenging due to
the complex imaging conditions as well as the intrinsic and extrinsic property of the faces …

Regional attention network (ran) for head pose and fine-grained gesture recognition

A Behera, Z Wharton, Y Liu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Affect is often expressed via non-verbal body language such as actions/gestures, which are
vital indicators for human behaviors. Recent studies on recognition of fine-grained …

Factors affecting accuracy of convolutional neural network using vgg-16

J Rawat, D Logofătu, S Chiramel - International Conference on …, 2020 - Springer
In this paper, performance evaluation of image data-set using 2-layer Convolutional Neural
Network Architecture and transfer learning method, is studied on Fashion MNIST dataset …

Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model

CP Udeh, L Chen, S Du, M Li, M Wu - Journal of Advanced …, 2023 - jstage.jst.go.jp
In the quest for human-robot interaction (HRI), leading to the development of emotion
recognition, learning, and analysis capabilities, robotics plays a significant role in human …

Rotation axis focused attention network (rafa-net) for estimating head pose

A Behera, Z Wharton, P Hewage… - Proceedings of the …, 2020 - openaccess.thecvf.com
Head pose is a vital indicator of human attention and behavior. Therefore, automatic
estimation of head pose from images is key to many real-world applications. In this paper …

Critically examining the domain generalizability of facial expression recognition models

V Suresh, G Yeo, DC Ong - arXiv preprint arXiv:2106.15453, 2021 - arxiv.org
Facial Expression Recognition is a commercially-important application, but one under-
appreciated limitation is that such applications require making predictions on out-of-sample …

Detecting exams fraud using transfer learning and fine-tuning for ResNet50

HH Luong, TT Khanh, MD Ngoc, MH Kha… - … Conference on Future …, 2022 - Springer
Online examinations gradually become popular due to Covid 19 pandemic. Environmentally
friendly, saving money, and convenient,... are some of the advantages when taking exams …

Deep Learning-based Head Pose Estimation for Enhancing Nonverbal Communication in Human-Robot Interaction

CY Yoon, Y Lim, DW Lee, KE Ko - 2023 32nd IEEE International …, 2023 - ieeexplore.ieee.org
This study presents an approach for enhancing human-robot interaction by developing a
deep learning-based algorithm that recognizes nonverbal communicative information, with a …

Task–Driven Image–to–Image Translation for Automotive Applications

A Mălăescu, A Frăţilă, LC Duţu… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Image-to-image translation attempts at mapping an image from a given domain into a
different domain. In this paper we introduce a novel image-to-image translation paradigm …