Results 51 to 60 of about 982 (204)

FACE RECOGNITION USING MTCNN, AND EYE DISTANCE. [PDF]

The use of face recognition is often encountered in everyday life. and we need to know if there are many methods or models for doing face recognition, one of which is by utilizing MTCNN.
ANCE, YOSEPTIANOVEN
core   +1 more source

A multimodal approach to support teacher, researcher and AI collaboration in STEM+C learning environments

British Journal of Educational Technology, Volume 56, Issue 2, Page 595-620, March 2025.
Abstract Recent advances in generative artificial intelligence (AI) and multimodal learning analytics (MMLA) have allowed for new and creative ways of leveraging AI to support K12 students' collaborative learning in STEM+C domains. To date, there is little evidence of AI methods supporting students' collaboration in complex, open‐ended environments. AI
Clayton Cohn, Caitlin Snyder, Joyce Horn Fonteles, Ashwin T. S., Justin Montenegro, Gautam Biswas   +5 more
wiley   +1 more source

Real-Time Face Attendance System Using CNN Mobilenet and MTCNN [PDF]

This research presents the development of a real-time attendance system utilizing facial recognition, which incorporates three main components: the MobileNet Convolutional Neural Network (CNN) for classification, Multi-task Cascaded Convolutional ...
Amri, Hajijin, Nurdiawan, Odi, Rinaldi Dikanda, Arif   +2 more
core   +1 more source

UAM‐Net: Robust Deepfake Detection Through Hybrid Attention Into Scalable Convolutional Network

Expert Systems, Volume 42, Issue 3, March 2025.
ABSTRACT The recent advancements in computer vision have transformed data manipulation detection into a significantly challenging task. Deepfakes are advanced manipulation methods for generating highly convincing synthetic media wherein one digitally forges an individual's visuals.
Kerenalli Sudarshana, Yendapalli Vamsidhar   +1 more
wiley   +1 more source

Emotion recognition and interaction of smart education environment screen based on deep learning networks

Journal of Intelligent Systems
Smart education environments combine technologies such as big data, cloud computing, and artificial intelligence to optimize and personalize the teaching and learning process, thereby improving the efficiency and quality of education.
Zhao Wei, Qiu Liguo
doaj   +1 more source

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

Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey

Expert Systems, Volume 42, Issue 2, February 2025.
ABSTRACT Machine vision has had a substantial impact on human‐computer interaction and psychological research. The ability of robots to generate realistic facial expressions has been enhanced by advancements in artificial intelligence, neural networks, and deep learning, thereby nurturing more profound emotive connections between humans and machines ...
Anjali Diwan, Reshma Sunil, Parita Mer, Rajesh Mahadeva, Shashikant P. Patole   +4 more
wiley   +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

Multimodal Biometrics: A Review of Handcrafted and AI–Based Fusion Approaches

IET Biometrics, Volume 2025, Issue 1, 2025.
As security threats continue to evolve, multimodal biometric recognition systems (MBRSs) have emerged as robust solutions for reliable user authentication. To the best of our knowledge, this study presents the first systematic literature review (SLR) specifically focused on MBRS based on physiological traits, combining traditional image processing ...
Hind Es-Sobbahi, Mohamed Radouane, Khalid Nafil, Vincenzo Conti   +3 more
wiley   +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