This video DEMO shows an Application of Hand Gesture Recognition using FMCW Radar and Deep Learning to Control the UR3 system at the Robotics Laboratory, room 505, A4 building, Phenikaa University.
University Thesis - Author: Tuan Trinh The
References:
The Tuan Trinh, Hien Vu Pham, Tien Dat Le, Minhuy Le*, Hand Gesture Recognition with Uncertainty Awareness via FMCW Radar Sensing and Deep Learning, IEEE Sensors Journal, Vol. 25, is. 13, p. 24517-24524, 2025, DOI: 10.1109/JSEN.2025.3573743 (Q1, IF2025: 4.3)
The Tuan Trinh; Dang-Khanh Le; Van Su Luong; Minhhuy Le* ,Hand Gesture Recognition using MIMO Radar and Lightweight Convolutional Neural Network, International Conference on Control, Automation and Information Sciences (ICCAIS) 2023; DOI:10.1109/ICCAIS59597.2023.10382331 (IEEE Scopus)
Large Language Models (LLMs) are revolutionizing industrial robot programming by enabling automation, natural language-based coding, and intelligent troubleshooting. These models can convert human instructions into executable code, optimize motion planning, and enhance human-robot interaction, making industrial automation more efficient and accessible. 🌐📈
University Thesis - Author: Dat Le Tien
Reference:
Tien Dat Le, Minhhuy Le*, Empowering Universal Robot Programming with Fine-Tuned Large Language Models , EAI Endorsed Trans AI Robotics, vol. 4, Jul. 2025, DOI: https://doi.org/10.4108/airo.8983 (Scopus).
This project focuses on building a gesture recognition system that utilizes lightweight machine learning technology (TinyML) to process camera input and recognize hand gestures ✋🤚. By leveraging the power of microcontrollers 🖥️, the system is optimized for low-power, real-time applications ⚡, making it suitable for embedded systems in areas like robotics 🤖, human-computer interaction 💻, and IoT devices 🌐
University Thesis - Author: Kiet Tran Mach Tuan
Reference:
Tuan Kiet Tran Mach, Khai Nguyen Van, Minhhuy Le*, Resource-Efficient Deep Learning: Fast Hand Gestures on Microcontrollers, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, DOI: http://dx.doi.org/10.4108/eetinis.v11i3.5616, (Scopus)
This is a Capstone Project
Reference:
Hien Vu Pham, Thuy Phuong Vu, Huong Thi Nguyen, Minhhuy Le*, Lightweight Keyword Spotting with Inter-Domain Interaction and Attention for Real-Time Voice-Controlled Robotics, EAI Endorsed Transactions on AI and Robotics, Vol. 4, 2025, DOI: https://doi.org/10.4108/airo.7877, (Scopus).
This video demonstrates the capability of UWB radar for materials/objects classification using Machine learning/Deep learning.
Reference:
Minhhuy Le*; Tuan Kiet Tran Mach; Van Su Luong; Khai Nguyen Van; Hong Ha Thi Vu, Ultra-wideband Impulse Radar Classification of Materials using a Convolutional Neural Network, International Conference on Advanced Technologies for Communications (ATC); 2023, (pp. 244-247). IEEE. (Scopus), DOI: 10.1109/ATC58710.2023.10318919.
We proposed a Deep Neural Network (DNN) for simulation of magnetic field. The DNN provides an easy way of simulation by feeding only the distribution of supplied current and the physical properties such as magnetic permeability without the need of the meshing process.
Reference:
Minhhuy Le*, Cong-Thuong Pham, Jinyi Lee, "Deep Neural Network for Simulation of Magnetic Flux Leakage Testing", Measurement (2020), DOI: https://doi.org/10.1016/j.measurement.2020.108726 .This video demonstrates the capability of UWB radar for remote vital signal (including respiration and heartbeat signals) measurement.
Reference:
Minhhuy Le*, "Heartbeat extraction based on high order derivative for ultra-wideband impulse radar", Journal of Physics D: Applied Physics (2020), In press. Minhhuy Le*, "Heart Rate Extraction based on Eigenvalues using UWB Impulse Radar Remote Sensing" Sensor and Actuators A: Physical 303 (2019) 111689.Minhhuy Le*, Binh Van Nguyen, "Multivariate Correlation of Higher Harmonics for Heart Rate Remote Measurement using UWB Impulse Radar" IEEE Sensors Journal 20 (2019) 1859-1866.We are developing UWB radar application for respiration and heartbeat signal measurement (vital signal). The vital signal could be remotely measured in a distance of few meters. It could be used for monitoring patients in hospital, smart car, smart home or others.
Reference:
Minhhuy Le*, "Heartbeat extraction based on high order derivative for ultra-wideband impulse radar", Journal of Physics D: Applied Physics (2020), In press. Minhhuy Le*, "Heart Rate Extraction based on Eigenvalues using UWB Impulse Radar Remote Sensing" Sensor and Actuators A: Physical 303 (2019) 111689.Minhhuy Le*, Binh Van Nguyen, "Multivariate Correlation of Higher Harmonics for Heart Rate Remote Measurement using UWB Impulse Radar" IEEE Sensors Journal 20 (2019) 1859-1866.