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
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
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
This video demonstrates the capability of UWB radar for materials/objects classification using Machine learning/Deep learning.
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.
Related researches:
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.
Related researches:
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.
Related researches:
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.