Development of a system for monitoring the movement and location of objects
Students Name: Nakonechnyi Maksym Andriiovych
Qualification Level: magister
Speciality: Information Technology Design
Institute: Institute of Computer Science and Information Technologies
Mode of Study: full
Academic Year: 2024-2025 н.р.
Language of Defence: ukrainian
Abstract: Nakonechnyi M.A., Korpylov D.V. (head). Development of a system for monitoring the movement and position of objects. Master’s thesis - Lviv Polytechnic National University, Lviv, 2024. Extended annotation. The aim of the thesis is the development and implementation of a system for monitoring movement and body position based on an ESP32 microcontroller and an MPU-6050 sensor to ensure accurate control of movements in rehabilitation procedures, in particular mirror therapy. The system should provide the collection, processing and visualization of movement data in real time, providing patients and specialists with the feedback necessary to improve the effectiveness of therapy. The work provides an analysis of existing methods and means of monitoring movement and body position used in rehabilitation. The system architecture will also be developed, which will include a hardware platform based on ESP32 and MPU-6050, as well as software for data collection and processing. Special attention will be paid to the implementation of signal processing algorithms, such as noise filtering and calculation of body position using accelerometer and gyroscope data. The key element of the system will be visualization of movements in real time through a user-friendly interface, which will support effective use in mirror therapy. Conducting testing in conditions close to real ones will allow to assess the accuracy, speed and practicality of the developed system. The expected result is the creation of an innovative system that will ensure accurate control of the patient’s movements, detection of deviations and provision of interactive feedback, which will contribute to the improvement of the rehabilitation process and the quality of life of patients. The relevance of the work is due to the growing need for technological solutions for the rehabilitation of patients with motor activity disorders. Mirror therapy, which is widely used to restore motor functions, requires precise control and analysis of movements in real time. The use of modern microcontrollers, such as ESP32, and sensors, in particular the MPU-6050, allows you to create affordable and effective motion monitoring systems. Such a system can provide interactive feedback, which is critical for improving the effectiveness of therapeutic procedures. In addition, the automation of the data collection and analysis process helps to reduce the burden on the medical staff. The development of such technologies corresponds to modern trends in the integration of IoT solutions into medical practice. The thesis consists of three sections, conclusions and a list of used literature. The scientific novelty of the master’s thesis consists in the development of an innovative system for monitoring movement and body position using an ESP32 microcontroller and an MPU-6050 sensor, aimed at supporting rehabilitation procedures, in particular mirror therapy. As part of the work, for the first time, the integration of sensor data processing algorithms (accelerometer and gyroscope) for accurate determination of body position in real time using IoT solutions is proposed. The novelty consists in the creation of a system that provides high-precision collection, processing and visualization of the patient’s movements, which contributes to increasing the efficiency of the rehabilitation process. The work also introduces an approach to using ESP32 for real-time data processing and transmission, which allows you to significantly reduce information transmission delays and provide interactive feedback. A feature is the optimization of the system’s energy consumption, which makes it suitable for long-term use in mobile or home conditions. The obtained results expand the possibilities of modern monitoring systems for medical needs, integrating them into the processes of personalized rehabilitation. The thesis contains: 100 articles, __ fig., _ table, 33 references to the used sources. Keywords: ESP32, MPU-6050, motion monitoring, rehabilitation, mirror therapy, body position control, motion sensors, IoT, real-time data processing, interactive feedback, accelerometer, gyroscope, data visualization, filtering algorithms, power optimization . List of used literature sources: Kurniawan, Agus. "ESP32 Development using Arduino." Packt Publishing Ltd, 2019. Poitras, Neil. "Internet of Things (IoT) with ESP32 and MicroPython." Leanpub, 2020. Fischer, Andreas. "Practical Electronics and Embedded Systems: A Comprehensive Introduction to the IoT." Springer, 2020. Cuno Pfister. "Getting Started with the Internet of Things: Connecting Sensors and Microcontrollers to the Cloud." O’Reilly Media, 2011. Karvinen, Tero, et al. "Make: Sensors: A Hands-On Primer for Monitoring the Real World with Arduino and Raspberry Pi." Maker Media, Inc., 2014. Borkar, Vaibhav. "Building IoT Projects with ESP32: Develop IoT Projects and Solutions with ESP32, the Wi-Fi and Bluetooth System on Chip." Packt Publishing Ltd, 2020. Bassi, Alessandro, et al. "Enabling Things to Talk: Designing IoT Solutions with the IoT Architectural Reference Model." Springer, 2013. Vaibhav Bhandari, et al. "IoT Projects with ESP32: Build exciting and powerful IoT projects using the all-new Espressif ESP32." Packt Publishing Ltd, 2020. Arslan Munir, Ann Gordon-Ross, Sanjay Ranka. "Modeling and Optimization of the Lifetime of Embedded Systems: A Case Study of MPSoCs in Embedded and IoT Systems." Springer, 2013. Hugo, Susan. "Mastering ESP32: Powerful Embedded Systems Applications with C Programming." CreateSpace Independent Publishing Platform, 2017. Hamblen, James O., et al. "Rapid Prototyping of Digital Systems: SOPC Edition." Springer, 2013. Newton, Michael. "Learning JavaScript Robotics: Building NodeBots with Johnny-Five, Raspberry Pi, Arduino, and BeagleBone." O’Reilly Media, Inc., 2017.