A blender addon for motion tracking inspired by KeenTools GeoTracker
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Updated
Oct 24, 2025 - C++
A blender addon for motion tracking inspired by KeenTools GeoTracker
Handles the data acquisition and processing from IMU sensors, providing orientation and motion data to enhance the tracking capabilities of the system.
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.
Use the ESP32 as a software motion detector for whole house based on multipath interference in RSSI. Will detect human intruders when they cross the path between the ESP32 and other access points or wifi clients or freely move inside rooms / apartments..
Minimalistic library for motion detection using low cost ST LIS3DH, 3-axis MEMS accelerometer, ultra-low-power that works
Digital Image Correlation & Digital Volume Correlation Library
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.
Establishes and manages communication between different hardware components and software layers, ensuring seamless data exchange and synchronization.
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.
Code for the paper "Ultra-responsive, low-dimensional unfamiliar movement sonification guides unconstrained reaches to invisible targets in 3D space"
Vyro is a body motion tracking suit that uses a BMI160 IMUs and an ESP-32 to tracking your body movements.
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.
sample code focused on my motion processing from IMUs in embedded systems
Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.
Low-cost multi-view pose tracking using active markers
A C++ console application using the OpenCV library to realize laser robot guidance, accompanying a robotics and hardware project.
Hierarchiacal Motion Tracking algorithm based on ORB
A Low-cost Open-source High-speed Multi-camera Motion Capture System.
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