Orientador: José Luiz Rybarczyk Filho / Resumo: O cavalo (Equus caballus) sofreu mudanças evolutivas do Eohypus com adaptações na locomoção para andamentos em diferentes velocidades. Em semelhança a outros ungulados a porção distal dos equinos é protegido pelo casco. O casco é estrutura córnea complexa que tem relação direta à saúde destes animais, é a parte protetora estrutural e funcional do sistema locomotor do equino, e tem ação direta sobre o retorno sanguíneo dos membros ao coração. Ao apoiar o casco sobre o solo, o animal pressiona as estruturas podais que promovem a expansão medial e lateral do casco. Considerando tais alterações no formato do casco nos momentos de apoio e elevação durante a locomoção, apresenta-se um sistema físico de precisão que analisa objetivamente a deformação dos cascos durante a locomoção, estabelecendo-se uma avaliação física e matemática das mudanças do formato do casco à locomoção. Foi desenvolvida uma placa de circuito impresso para se encaixar na plataforma embarcada Arduino (shield), esse dispositivo faz o processamento dos sinais adquiridos pelos sensores fixados nos cascos, e os enviam a um computador com uma taxa de amostragem a 200 Hz. Um software escrito na linguagem de programação Python recebe os dados, exibe-os em tempo real e os armazenam em arquivos para análises. Para realizar o teste in vitro foi criado um protótipo de um casco em PVC. Os testes in vivo foram feitos em quatro animais, o quais foram conduzidos em dois tipos diferentes de solo (asfalto e grama). O resultado ... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The horse (Equus caballus) underwent evolutionary changes of Eohypus with adaptati- ons in locomotion for different speeds. In similarity to other angulated distal equine is protected by the hoof. The hoof is a complex cornea structure that is directly related to the health of these animals, it is the structural and functional protective part of the equine locomotor system, and has direct action on the blood return of the limbs to the heart. By supporting the hoof on the ground, the animal presses the foot structures that promote the medial and lateral expansion of the hoof. Considering such changes in the shape of the hoof during moments of support and elevation during locomotion, a physical precision system is presented that objectively analyzes the deformation of the hooves during the locomotion, establishing a physical and mathematical evaluation of the changes of the shape of the hoof to locomotion. A printed circuit board was developed to fit the Arduino embedded platform (shield), this device processes the signals acquired by the sensors attached to the hooves and sends them to a computer with a sampling rate of 200 Hz. Software written in the Python programming language receives the data, displays it in real time, and stores it in files for analysis. For the in vitro test a prototype of a PVC hoof was created. In vivo tests were performed on four animals, which were conducted on two different types of soil (asphalt and grass). The result demonstrated and proved the op... (Complete abstract click electronic access below) / Mestre

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A common problem associated with patient handling is the risk of bodily injury due to acute or cumulative trauma. The objective of this research was to develop an integrated solution, using commercially available components, to help health care providers handle patients in a safe manner. The objective was achieved by retrofitting a mannequin with flex sensors, electrogoniometers, pressure sensors, and photocells. The sensors were capable of quantifying angular displacement, skin pressure distribution and undignified exposure. All of these variables were monitored by a computer-based data acquisition system. The design of this integrated system was implemented using National Instruments LabView software, which possessed the capability to provide both spasm simulation process control and a history of the acquired sensor data. A virtual instrument, (VI), was developed using LabView as the interface between the user or instructor and the instrumented mannequin. The VI had the capability of displaying the history of the acquired data. With access to the data's history the trainer is able to analyze the sensor information and verify the procedural accuracy of the actions performed on the simulated patient by the student. The system technologies employed can help the instructor improve the training of health care workers. Additionally, providing the trainer with useful information about the student's skill building during interaction with a patient enhances evaluation of the student's performance. Once the data is collected, the instrumented mannequin is capable of identifying problems such as excessive force or pressure when health care providers are interacting with patients. This provides the healthcare community with useful information to improve and provide a safer and more comfortable environment for the patient. The instrumented mannequin will be a valuable tool in evaluating and assessing the merits of clinical procedures. It may also be used in biomechanical studies involving patient handling by caregivers.

The aim of this work is to design a robotic hand, which will be controlled by wireless Wi-Fi, will be equipped with a camera and for easier operation will be designed control glove. The first part of the thesis is a theoretical analysis, various variants of sensors are described, which can be used for motion detection, each drive units and their control. Next chapters are focused on used electronic modules and microcontrollers. The second part is practical and is focused on the mechanical design of a five-finger robotic hand and fixing to a robotic arm. Also described is the control electronics of the entire robotic hand and the programmed firmware. Next, the design and implementation of the control glove is described. The last chapter describes the programmed application for the Android operating system.

Industrial robotic arms have transformed the manufacturing environment by providing efficient and precise automation solutions. These sophisticated machines, powered by innovative technology, are capable of performing difficult tasks with speed and accuracy. The project described here is related to industrial robotics because it focuses on the creation of a gesture-controlled robotic arm. This project aims to build a robotic arm that can be controlled by gestures utilising MPU6050 sensors and flex sensors. By interpreting gestures acquired by strategically placed sensors, the robotic arm is designed to emulate human arm movements. The MPU6050 sensors are placed on the hand, near the elbow, and near the shoulder, allowing the system to capture the arm’s orientation and movement in real time. The gripper mechanism of the robotic arm is controlled by a flex sensor on the index finger. The central control unit is the Arduino UNO Rev3 SMD microcontroller, which is in charge of analyzing sensor input and translating it into matching robotic arm movements. The suggested system intends to provide a user-friendly and intuitive method for robotic arm control, with possible applications in a variety of domains such as industrial automation, medical support, and prosthetics.