Yacine Yaddaden
Université du Québec à Chicoutimi, Université du Québec à Rimouski
Papers
6
Total Citations
71
H-Index
3
About
Dr. Yacine Yaddaden is a pioneering researcher at the intersection of assistive robotics, computer vision, and industrial automation. His work centers on developing intelligent systems that enhance human-machine interaction and safety, with key contributions spanning ambient assisted living, structural health monitoring, and robotic quality control. Dr. Yaddaden’s most impactful work, “User action and facial expression recognition for error detection system in an ambient assisted environment” (56 citations), demonstrates his leadership in affective computing for healthcare, where he integrates dynamic emotion recognition and action analysis to create error-detection systems that support vulnerable populations. His recent advances in industrial automation are equally notable: he has developed real-time defect detection systems using AI and Doosan Robotics (2025), and pioneered a novel method for crack width estimation in concrete structures (2022), addressing critical safety issues in aerospace and civil engineering. Dr. Yaddaden has also innovated in acoustic measurement, improving accuracy through robotic integration (2023), and in autonomous navigation, comparing SLAM algorithms for voice-controlled wheelchairs (2024). His work on efficient dynamic emotion recognition using statistical spatio-temporal geometric features (2025) further cements his reputation as a leader in creating responsive, human-centered robotic systems. With a portfolio that bridges healthcare, infrastructure, and manufacturing, Dr. Yaddaden’s research is shaping the future of safe, intelligent automation.
Research Focus
Key Achievements
Top Papers
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