Скачать или смотреть Bachelor's Thesis - Jitaru Andrei-Catalin

I have developed an innovative solution for hand movement recovery using IMU (Inertial Measurement Unit) sensors and the principle of "mirroring." This project is a non-invasive medical solution for patients with motor disabilities or limitations in an upper limb. It employs a robotic system called ParReEx, developed by the CESTER research laboratory, which replicates the movement of a fully functional hand onto the affected hand using data gathered from sensors mounted on the functional hand.

The data received from the Adafruit LSM9DS1 inertial sensors is processed on NodeMCU V3 boards using the C++ programming language. This data is transmitted in real-time to a GUI interface developed in Python, allowing medical personnel to control the robot during rehabilitation movements. The ParReEx robot executes movements based on mathematically determined processing of sensory data. I programmed the ParReEx robot using Automation Studio, a software provided by B&R.