This thesis presents a preliminary design of a fully articulated five-fingered anthropomorphic human hand prosthesis with particular emphasis on the controller and actuator design. The proposed controller is a modified artificial neural network PID-based controller with application to the nonlinear and highly coupled dynamics of the hand prosthesis. The new solid state actuator has been designed based on electroactive polymers, which are a type of material that exhibit electromechanical behavior and a liquid metal alloy acts as the electrode. The solid state actuators reduce the overall mechanical complexity, risk failure and required maintenance of the prosthesis. / Graduate

This project treats of using electromyograph as a control standard for prosthetic replacement of human arm. The work is mainly focused on surface signals. Reader is briefed by creation and transmission of the signal. The work takes account of the transmission of the signal for surface electrodes and the differences between the ideal and the real connection. Another point of the thesis is the design of basic system model for simulation of the robotic arm movement, which depends on the measured signal. In the practical part there is the realization of the artificial limb movement. It starts with the roboric arm construction and continues with the communication between computer and the robotic arm. First part of practical testing ends with creating of an user interface, which is capable of control all robotic arm movements. The interface is combined with a computer model in Matlab robotic toolbox. The model is able to move in sync with the real robot. The final part is devoted to practical measurement with Biopac instruments. The obtained signal is modified to be used as controller for the robotic arm. Author's aim is to adjust this movement to be most similar to real movement.

This masters thesis deals with experimental biomechanical hand prosthesis designing and its realization in shape of prototype. Hand prosthesis sizing corresponds with adult man hand. Prosthesis functionality is selected with respect to search analysis results, to provide sufficient options to grip different objects. Hand design, including technical documentation, is completely made in Autodesk Inventor 2012. Main parts of prototype are made with using rapid - prototyping technologies. Used materials for parts made by this way are ABS plastics and plaster powder. Firgelli linear actuators (product line L) are used as drive for electrical controlled fingers. Prototype control is realized by PCI card and program, which has been written in LabView.

This thesis elaborates on design and fabrication of an artificial mechanical upper limb prototype for transradial amputations, i. e. for patients with stump between elbow and wrist joints. The artificial limb is designed for use in a wide spectrum of patients. Therefore, the main components are designed to be applicable to smaller as well as larger hand dimensions. The artificial mechanical limb is designed to be controlled by the other hand of a patient and enables grasping of objects via cylindrical and hook grip. Fingers are driven by tension springs and can be locked in extension. Clenching can be initiated by pressing a button, which unlocks the fingers, thus an object can be grasped. Wrist joint is adjustable when pressed a release button. Forearm joint is locked by preloaded spring. The lock of the forearm joint is released by sufficient torque. New position of the forearm joint is locked automatically when the torque is not being applied. Prototypes of the artificial mechanical upper limb were manufactured by using of rapid prototyping technologies (FDM, SLM) as well as CNC milling machine. All parts of the artificial limb were designed with regard to manufacturability by conventional methods such as casting, injection and the like. The artificial limb prototype had been designed on 3D data basis of a specific patient, who already has tested the prototype. Following materials were used on the prototype: ABS plastic, SikaBlock M940 polyurethane, aluminium and 316L stainless steel.

Submitted by Erika Demachki (erikademachki@gmail.com) on 2017-02-16T16:21:52Z No. of bitstreams: 2 Dissertação - Bruno Alves Maia - 2016.pdf: 9862769 bytes, checksum: da6934df826a53e405a0f542815fc54d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2017-02-17T16:53:04Z (GMT) No. of bitstreams: 2 Dissertação - Bruno Alves Maia - 2016.pdf: 9862769 bytes, checksum: da6934df826a53e405a0f542815fc54d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-02-17T16:53:04Z (GMT). No. of bitstreams: 2 Dissertação - Bruno Alves Maia - 2016.pdf: 9862769 bytes, checksum: da6934df826a53e405a0f542815fc54d (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-08-24 / The use of artificial limbs provides great improvements in the quality of life of people who were born with malformation or have lost their upper limbs. However, the value of conventional prostheses is not accessible to the majority of the population. In order to change this reality, began to emerge projects using additive manufacturing. The use of such technology allows the manufacture of more accessible and customized prostheses. However, the adequacy of project design is still a problem, due to the lack of data on the size of the upper limbs, especially on children and adolescents. Based on this need, this work seeks to find a way to parameterize the hand dimensions, thus helping in the better dimensioning of the prostheses. Thus, this work looks for a variable that presents satisfactory correlation with the dimensions of the upper limb. After finding such a relationship, a table and a parametric model were created that can estimate the length of the hand from the height. / A utilização de membros artificiais proporciona grandes melhorias na qualidade de vida de pessoas que nasceram com malformação ou perderam os membros superiores. No entanto, o valor das próteses convencionais não é acessível à maioria da população. Com o objetivo de modificar essa realidade, começaram a surgir projetos utilizando a manufatura aditiva. O emprego de tal tecnologia, permite a confecção de próteses mais acessíveis e customizadas. Porém, o dimensionamento adequado dos projetos ainda é um problema, devido à falta de dados relativos ao tamanho dos membros superiores, principalmente sobre crianças e adolescentes. Com base nessa necessidade, este trabalho busca encontrar uma forma de parametrizar as dimensões da mão, auxiliando assim no melhor dimensionamento das próteses. Sendo assim, este trabalho procura uma variável que apresenta correlação satisfatória com as dimensões do membro superior. Após encontrar tal relação, foram criados uma tabela e um modelo paramétrico que conseguem estimar o comprimento da mão a partir da estatura.

Le thème central de cette thèse est la conception d’actionneurs doux à partir de matériaux intelligents et d’une prothèse de main robotique souple. Notre approche prends en compte les différents points qui peuvent influer sur le développement d’une stratégie d’actionnement ou d’un muscle artificiel : i) Les mécanismes et la fonctionnalité de la main humaine afin d’identifier les exigences fonctionnelles pour une prothèse de main robotique en matière de préhension. ii) L’analyse et l’amélioration des mécanismes de la main robotique pour intégrer un comportement souple dans la prothèse. iii) L’évaluation expérimentale de la prothèse de main robotique afin d’identifier les spécifications du système d’actionnement nécessaire au fonctionnement cinématique et dynamique du robot. iv) Le développement et la modélisation d’une stratégie d’actionnement utilisant des matériaux intelligents.Ces points sont abordés successivement dans les 4 chapitres de cette thèse1. Analyse du mouvement de la main humaine pour l’identification des exigences technologiques pour la prothèse de main robotique.2. Conception et modélisation de la prothèse de main robotique à comportement souple.3. Evaluation mécatronique de la prothèse de main.4. Conception d’un muscle artificiel basé sur des matériaux intelligents. / In the field of robotic hand prosthesis, the use of smart and soft materials is helpful in improving flexibility, usability, and adaptability of the robots, which simplify daily living activities of prosthesis users. However, regarding the smart materials for artificial muscles, technologies are considered to be far from implementation in anthropomorphic robotic hands. Therefore, the target of this thesis dissertation is to reduce the gap between smart material technologies and robotic hand prosthesis. Five central axes address the problem: i)identification of useful grasping gestures and reformulation of the robotic hand mechanism, ii) analysis of human muscle behavior to mimic human grasping capabilities, iii) modeling robot using the hybrid model DHKK-SRQ for the kinematics and the virtual works principle for dynamics, iv) definition of actuation requirements considering the synergy between prehension conditions and robot mechanism, and v) development of a smart material based actuation system.This topics are addressed in four chapters:1. Human hand movement analysis toward the hand prosthesis requirements2. Design and modeling of the soft robotic hand ProMain-I3. Mechatronic assessment of Prosthetic hand4. Development of an artificial muscle based on smart materials

No description available.

Le sujet principal de cette thèse est le développement d’un contrôle commande intelligentpour une prothèse de main robotique avec des parties souples qui comporte: (i) uneinterface homme–machine permettant de contrôler notre prothèse, (ii) et des stratégiesde contrôle améliorant les performances de la main robotique. Notre approche tientcompte : 1. du développement d’une interaction intuitive entre l'homme et la prothèse facilitantl'utilisation de la main, d'un système d’interaction entre l’utilisateur et la mainreposant sur l'acquisition de signaux ElectroMyoGrammes superficiels (sEMG) aumoyen d'un dispositif placé sur l'avant-bras du patient. Les signaux obtenus sontensuite traités avec un algorithme basé sur l'intelligence artificielle, en vued'identifier automatiquement les mouvements désirés par le patient.2. du contrôle de la main robotique grâce à la détection du contact avec l’objet et de lathéorie du contrôle hybride.Ainsi, nous concentrons notre étude sur : (i) l’établissement d’une relation entre lemouvement du membre supérieur et les signaux sEMG, (ii) les séparateurs à vaste margepour classer les patterns obtenues à partir des signaux sEMG correspondant auxmouvements de préhension, (iii) le développement d'un système de reconnaissance depréhension à partir d'un dispositif portable MyoArmbandTM, (iv) et des stratégieshybrides de contrôle commande de force-position de notre main robotique souple. / The target of this thesis disertation is to develop a new Smart control of a soft robotic hand prosthesis for the soft robotic hand prosthesis called ProMain Hand, which is characterized by:(i) flexible interaction with grasped object, (ii) and friendly-intuitive interaction between human and robot hand. Flexible interaction results from the synergies between rigid bodies and soft bodies, and actuation mechanism. The ProMain hand has three fingers, each one is equipped with three phalanges: proximal, medial and distal. The proximal and medial are built with rigid bodies,and the distal is fabricated using a deformable material. The soft distal phalange has a new smart force sensor, which was created with the aim to detect contact and force in the fingertip, facilitating the control of the hand. The friendly intuitive human-hand interaction is developed to facilitate the hand utilization. The human-hand interaction is driven by a controller that uses the superficial electromyographic signals measured in the forearm employing a wearable device. The wearable device called MyoArmband is placed around the forearm near the elbow joint. Based on the signals transmitted by the wearable device, the beginning of the movement is automatically detected, analyzing entropy behavior of the EMG signals through artificial intelligence. Then, three selected grasping gesture are recognized with the following methodology: (i) learning patients entropy patterns from electromyographic signals captured during the execution of selected grasping gesture, (ii) performing a support vector machine classifier, using raw entropy data extracted in real time from electromyographic signals.