Results 51 to 60 of about 1,466 (208)

FACIAL EMOTION RECOGNITION USING DEEP LEARNING TECHNOLOGY

Tạp chí Khoa học
Recognizing emotions on human faces has always received attention and attraction from researchers. Along with the development of artificial intelligence, facial emotion recognition cameras are increasingly being introduced into various fields such as ...
Nguyen Thi Thu Hoa, Ngo Huu Huy, Giap Manh Tuyen, Nong Van Duong, Nguyen Thi Kieu Oanh, Nguyen Ba Bang   +3 more
doaj   +1 more source

A multiscale and multilevel fusion network based on ResNet and MobileFaceNet for facial expression recognition

IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
Facial and landmark features are extracted by the backbone network (ResNet18) and a facial landmark detector (MobileFaceNet), respectively. Baseline uses simple stacking of channels to achieve the supervision of facial landmarks. Although MMFRM uses a triple CBAM feature fusion module (TCFFM) to integrate three landmark features with the corresponding ...
Jiao Ding, Tianfei Zhang, Li Yang, Tianhan Hu   +3 more
wiley   +1 more source

Enhanced Images Deepfake Detection Using YOLOv8 with MTCNN Face Extraction Method for High-Accuracy Classification

Mustansiriyah Journal of Pure and Applied Sciences
With the increasing use of fake images and videos on social media platforms, the issue of verifying the authenticity of images has become of great importance for privacy protection.
Smaia Ali, S. A. Mahmood
semanticscholar   +1 more source

Fatigue State Detection Based on Multi-Index Fusion and State Recognition Network

IEEE Access, 2019
Fatigued driving detection in complex environments is a challenging problem. This paper proposes a fatigued driving detection algorithm based on multi-index fusion and a state recognition network, for further analysis of driver fatigue states. This study
Yingyu Ji, Shigang Wang, Yan Zhao, Jian Wei, Yang Lu   +4 more
doaj   +1 more source

An integrated approach for mental health assessment using emotion analysis and scales

Healthcare Technology Letters, Volume 12, Issue 1, January/December 2025.
For leading a healthy life, a person's mental state is critical. Depression is a prominent cause of mental illness, which could primarily increase early death. It's possible that it's the root of suicidal ideation, and it causes severe impairment in daily life as a result. By detecting human face traits, artificial intelligence has cleared the road for
N. Shanthi, Albert Alexander Stonier, Anli Sherine, T. Devaraju, S. Abinash, R. Ajay, V. Arul Prasath, Vivekananda Ganji   +7 more
wiley   +1 more source

Practical Evaluation and Performance Analysis for Deepfake Detection Using Advanced AI Models

Engineering Proceedings
In the 21st century of digital technology, deepfakes are increasingly becoming a serious issue across the globe. We have many machine learning and deep learning algorithms that are meant to serve humanity, but nowadays, these algorithms are the main ...
Bikash Ranjan Barik, Ankush Nayak, Adyasha Biswal, Neelamadhab Padhy   +3 more
doaj   +1 more source

A single‐model multi‐task method for face recognition and face attribute recognition in internet of things and visual computing

IET Image Processing, Volume 19, Issue 1, January/December 2025.
Abstract The use of the internet of things (IoT) is steadily increasing in a wide range of applications. Integration of IoT, computer vision, and artificial intelligence can improve people's daily life in various domains such as smart homes, smart cities, and smart industries.
Jin Lu, Bo Wu
wiley   +1 more source

Pose and Illumination Invariant Face Recognition in Video via Motion Analysis and Texture Feature Optimization

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This paper presents a face recognition approach for video surveillance using a Fuzzy‐ARTMAP neural network, evaluated under varying pose and illumination conditions. It applies PCA and LDA for dimensionality reduction and demonstrates improved recognition performance with combined texture features (pixel intensity, LPQ3, and LBP) on ChokePoint and ...
Basharat Hussain, Ayyaz Hussain, Muhammad Islam   +2 more
wiley   +1 more source

Person Re-Identification Net of Spindle Net Fusing Facial Feature

Xibei Gongye Daxue Xuebao, 2019
In the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used.

doaj   +1 more source

Comparative Analysis of Face Detection Models: MTCNN, YOLO, and a Hybrid Approach

International Journal of Scientific Research in Computer Science and Engineering
Face detection is a vital subroutine in many computer vision systems, such as facial recognition systems, emotion detection systems and surveillance systems.
Arun Sharma, Kunika, Riya, Mayank Chopra, Pradeep Chouksey, P. Sadotra   +5 more
semanticscholar   +1 more source