This project aims to provide informative details about the latest version of Vegas Pro, a professional video editing software widely used in the industry. With enhanced features such as advanced color grading tools and improved audio editing capabilities, Vegas Pro version aims to streamline the editing process and deliver high-quality results.

An Arduino-based interactive robot

sample code focused on my motion processing from IMUs in embedded systems

Use kinect rgb, depth, infrared sensors & retro-reflective material to track hand gestures.

Code for the paper "Ultra-responsive, low-dimensional unfamiliar movement sonification guides unconstrained reaches to invisible targets in 3D space"

A C++ console application using the OpenCV library to realize laser robot guidance, accompanying a robotics and hardware project.

Wearable motion tracking device

Older code. A collection of DirectX video filters for object tracking in still scenes.

Handles the data acquisition and processing from IMU sensors, providing orientation and motion data to enhance the tracking capabilities of the system.

Unscented Kalman Filter to estimate the state of multiple cars on a simulated highway environment using noisy lidar and radar measurements

A setup for recording and analyzing walking motion using body-mounted ESP32 sensors. Each sensor is placed on a specific part of the body to capture detailed movement data, which can be used for gait analysis, motion research, or real-time activity monitoring.

Software for the homemade data glove with motion tracking.

Проект "Разработка устройства для выявления отклонений в работе опорно-двигательного аппарата" для проектной деятельности СУНЦ ЮФО. Авторы: Бадави С. А. и Себелев И. А. (10 ит). Данная ссылка прилагается к файлу "Тезисы" проекта. Здесь представлены ВСЕ коды (скрипты, настроечные файлы) для проекта.

Establishes and manages communication between different hardware components and software layers, ensuring seamless data exchange and synchronization.

A virtual musical instrument based on motion tracking

Introduction to Kalman Filters and implementing a 1-D and multi-dimensional Kalman Filter

This module dedicated to processing and analyzing visual data using advanced computer vision algorithms, primarily leveraging Kinect sensor data and OpenCV for real-time applications.

Head motion tracking for gaming.

Program based on the sixense_simple3d code from the Sixense SDK to read the data from the Razer Hydra.