Mohammed Alonazi

Papers

Total Citations

245

H-Index

About

Mohammed Alonazi is an emerging researcher at the forefront of human-computer interaction, computer vision, and intelligent sensing systems. His work spans several interconnected domains, including human activity recognition (HAR), multi-object detection, gesture recognition, and human interaction analysis — areas with profound implications for healthcare, robotics, surveillance, and assistive technologies. Alonazi's most impactful contribution, "Robust Human Locomotion and Localization Activity Recognition over Multisensory" (2024), has already amassed 140 citations, reflecting its significance in advancing wearable-based HAR using Inertial Measurement Units and ambient sensors. His work on remote intelligent perception for multi-object detection in robotic environments (65 citations) demonstrates his command of cutting-edge visual sensor technologies and scene classification techniques. Beyond sensing and detection, Alonazi has made notable strides in human interaction recognition, developing a novel framework combining Quadratic Discriminant Analysis with Hidden Markov Models, and pioneering hand gesture recognition systems to support deaf communities through sign language interpretation using geometric features and convex hull landmarks. With over 245 cumulative citations from recent publications alone, Mohammed Alonazi is rapidly establishing himself as a significant contributor to intelligent perception and human-centered computing research.