Development of an application for the use of drones in neurorehabilitation
Since the appearance of drones in the world context, a wide range of applications have been developed with them. Their adaptability, autonomy, maneuverability have positioned drones as a valuable technology. Such as in industries of transport of goods, reconnaissance activities, mapping, firefightin...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/443245 |
| Acceso en línea: | https://hdl.handle.net/2117/443245 |
| Access Level: | acceso abierto |
| Palabra clave: | Python (Computer program language) Drone aircraft Artificial intelligence Drone UAS Neurorehabilitation Application Avions no tripulats Python (Llenguatge de programació) Intel·ligència artificial Àrees temàtiques de la UPC::Aeronàutica i espai |
| Sumario: | Since the appearance of drones in the world context, a wide range of applications have been developed with them. Their adaptability, autonomy, maneuverability have positioned drones as a valuable technology. Such as in industries of transport of goods, reconnaissance activities, mapping, firefighting and more. This project aims to explore the integration of drones in neurorehabilitation processes to provide more efficient and individualized interventions for patients. The primary target of this research is about the creation of a drone system with the objective to evaluate whether drones can enhance therapeutic outcomes by addressing cognitive, emotional and motor challenges associated with frontal lobe dysfunctions caused by vascular brain damage. The main development is a Python-based GUI that enables real-time interaction between the drone and the patient, allowing the creation of multiple configurable exercises involving hand, body and facial movements. Gestures and poses are evaluated using artificial intelligence to collect patient data, while simultaneously allowing the patient to control the drone. This system has been designed for indoor use. Furthermore, this research involves the development of a custom software library to control and manage the Crazyflie drone platform. The use of this lightweight drone offers multiple advantages such as task automation and adaptive responses within a small basic programmable environment. |
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