Tan Phung Ngoc

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Tan Phung Ngoc is a researcher at the forefront of human-robot interaction and smart-home automation, with a specialized focus on gesture-based control systems. Their work centers on developing robust algorithms that bridge the gap between human intent and machine execution, primarily through the integration of computer vision and machine learning techniques. Ngoc’s most notable contribution is the proposal of a hand gesture recognition algorithm that synergizes Support Vector Machines (SVM) with Histogram of Oriented Gradient (HOG) features, further enhanced by Convolutional Neural Networks (CNN) for classification. This framework, detailed in their 2021 paper with 35 citations, demonstrates significant potential for controlling robotic systems with high accuracy and efficiency. Expanding on this foundation, Ngoc has also explored the application of similar HOG-SVM models for smart-home environments, achieving 3 citations for their work in this area. By enabling intuitive, non-contact control of devices, Tan Phung Ngoc’s research paves the way for more accessible and responsive automation technologies, making them a key contributor to the evolution of intelligent systems in both industrial and domestic settings.