The aim of this thesis is to create a low-cost sensor equipped glove using commercially available components that can be used to obtain position, velocity and acceleration data for individual fingers of a hand within an optical motion capture environment. Tracking the full degrees of freedoms of the hand and finger motions without any hindrances is a challenging task in optical motion capture measurements. Attaching markers on every finger and hand joint makes motion capture systems troublesome due to practical problems such as blind spots and/or obtaining higher derivative motion constraints, such as velocities and accelerations. To alleviate this, we propose a method to capture the hand and finger kinematics with a reduced set of optical markers. Additionally inertial sensors are attached to the fingertips to obtain linear acceleration measurements. For optimal velocity estimation, a Kinematic Kalman Filter (KKF) is implemented and its result is compared to the time derivative of the Motion Capture System measurement. The higher derivative specifications are related to contact and curvature constraints between the fingers and the grasped object and are later used in formulating the synthesis task for the design of robotic fingers and hands. A preliminary prototype device has been developed to obtain position, velocity and acceleration information of each fingertip by incorporating multiple accelerometers into the basic design of reduced marker set.

Wearable computers and e-textiles are becoming increasingly widespread in today's society. Motion capture is one of the many potential applications for on-body electronic systems. Previous work has been performed at Virginia Tech's E-textiles Laboratory to design a framework for a self-contained loose fit motion capture system. This system gathers information from sensors distributed throughout the body on a "smart" garment. This thesis presents the hardware and software components of the framework, along with improvements made to it. This thesis also presents an analysis of both the on-body and off-body network communication to determine how many sensors can be supported on the garment at a given time. Finally, this thesis presents a method for determining the accuracy of the smart garment and shows how it compares against a commercially available motion capture system. / Master of Science

Thesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2011. / ENGLISH ABSTRACT: Optical motion capture (Mocap) systems measure 3D human kinematics accurately and at high sample rates. One of the limitations of these systems is that they can only be used indoors. However, advances in inertial sensing have led to the development of inertial Mocap technology (IMCT). IMCT measures kinematics using inertial measurement units (IMUs) attached to a subject's body without the need for external sensors. It is thus completely portable which opens up new horizons for clinical Mocap. This study evaluates the use of IMCT for improving road cycling kinematics. Ten male sub-elite cyclists were recorded with an IMCT system for one minute while cycling at 2, 3.5 and 5.5 W.kg-1 on a stretch of road and on a stationary trainer. A benchmark test was also done where cycling kinematics was measured simultaneously with the IMCT and a gold-standard Vicon optical system. The first goal was to assess the feasibility of conducting field measurements of cycling kinematics. Magnetic analysis results showed that the IMUs near the pedals and handlebars experienced significant magnetic interference (up to 50% deviation in intensity) from ferrous materials in the road bicycles, causing significant errors in kinematic measurement. Therefore, it was found that the IMCT cannot measure accurate full-body kinematics with the subject on a road bicycle. However, the results of the benchmark test with the Vicon showed that the IMCT can still measure accurate hip (root mean square error (RMSE) < 1°), knee (RMSE < 3.5°) and ankle (RMSE < 3°) flexion using its Kinematic Coupling algorithm. The second goal was to determine whether there is a significant difference between road cycling kinematics captured on the road and in a laboratory. The outdoor flexion results were significantly different to the indoor results, especially for minimum flexion (P < 0.05 for all joints). Changes in rider kinematics between high and low power were also found to have significantly more variability on the road (R2 = 0.36, 0.61, 0.08) than on the trainer (R2 = 0.93, 0.89, 0.56) for the hip, knee and ankle joints respectively. These results bring into question the ecological validity of laboratory cycling. Lastly, applications of IMCT for optimizing cycling performance were to be identified. Several aspects of kinematic analysis and performance optimization using the IMCT were evaluated. It was determined that IMCT is most suited for use as a dynamic bicycle fitting tool for analysis of biomechanical efficiency, bilateral asymmetry and prevention of overuse injuries. Recommendations for future work include the elimination of the magnetic interference and integration of the IMCT data with kinetic measurements to develop an outdoor dynamic fitting protocol. / AFRIKAANSE OPSOMMING: Optiese bewegingswaarnemingstelsels (BWS) meet drie-dimensionele menslike kinematika met hoë akkuraatheid en teen hoë monstertempo's. Een van die nadele van BWS is dat hulle slegs binnenshuis gebruik kan word. Onlangse ontwikkelings in sensor tegnologie het egter gelei na die beskikbaarheid van traagheids-BWS-tegnologie (TBT). TBT gebruik traagheidsmetingseenhede (TMEs) wat aan 'n persoon se liggaam aangeheg kan word om die kinematika te verkry sonder enige eksterne sensore. TBT is dus volkome draagbaar, wat nuwe geleenthede skep vir kliniese bewingsanalises. Hierdie projek evalueer die gebruik van TBT vir die verbetering van fietsry kinematika. Tien kompeterende fietsryers (manlik) was getoets met 'n TBT terwyl hulle teen 2, 3.5 and 5.5 W.kg-1 gery het op 'n pad, en op 'n stilstaande oefenfietsraam. 'n Maatstaftoets was ook uitgevoer waar fietsry-kinematika gelyktydig met die TBT en die Vicon optiese BWS opgeneem was. Die eerste doel van die navorsing was om die moontlikheid te ondersoek of fietsryer kinematika op die pad gemeet kan word. Die resultate toon dat die ferro-magnetiese materiale wat in meeste padfietse voorkom, 'n beduidende magnetiese steuring (tot 50% afwyking in intensiteit) op die TMEs naby die pedale en handvatsels veroorsaak, wat lei tot aansienlike foute in die kinematiese metings. Gevolglik was dit gevind dat die TBT nie volle-liggaam kinematika op 'n fiets kan meet nie. Nogtans, het die resultate van die Vicon maatstaftoets bewys dat die TBT nog steeds akkurate heup (wortel van die gemiddelde kwadraad fout (WGKF) < 1°), knie (WGKF < 4°) en enkel (WGKF < 3°) fleksie kan meet met die “Kinematiese Koppeling” algoritme. Die tweede doel was om te bepaal of daar 'n beduidende verskil tussen die laboratorium en pad fietsry-kinematika is. Die buitelug fleksie data het beduidend verskil van die binnenshuise resultate, veral vir minimum fleksie (P < 0.05 vir alle gewrigte). Veranderinge in fietsryer kinematika tussen hoë en lae krag het ook beduidend meer variasie op die pad (R2 = 0.36, 0.61, 0.08) as op die oefenfietsraam (R2 = 0.93, 0.89, 0.56) vir die heup, knie en enkel gewrigte, onderskeidelik, gehad. Hierdie resultate bevraagteken die ekologiese geldigheid van kinematiese toetse op fietsryers in 'n laboratorium. 'n Laaste doel was om die toepassings van TBT vir die optimering van fietsry kinematika te ondersoek. 'n Verskeidenheid aspekte van die analise en verbetering van fietsry kinematika met die TBT word bespreek. Die gevolgtrekking is dat TBT geskik is vir gebruik as 'n dinamiese instrument vir die analise van biomeganiese doetreffendheid, bilaterale asimmetrie en die voorkoming van beserings. Aanbevelings vir toekomstige werk, sluit in die uitskakeling van die magnetiese inmenging, asook die integrasie van die TBT data met kinetiese metings.

This thesis presents a study on how to create a production pipeline using a markerless motion capture system for the creation of animations in computer games. The questions the authors desire to answer are: Is it possible to create a pipeline that uses markerless motion capture for the creation of animations in computer games? And also: Can a markerless motion capture system fit in an animation pipeline for games? This thesis is based on previous work by Kakee Lau (Lau, 2012), a former student of Gotland University College. He describes a pipeline for working with passive optical motion capture for games. To fit the markerless motion capture system, there must be some changes to Lau’s already established pipeline. The method used in this thesis is based on a pipeline described in Lau’s thesis (Lau, 2012). The authors have made some alterations to this pipeline for it to be more suitable for markerless motion capture. The pipeline that the authors propose covers the setup of two Kinect cameras, the calibration, the recording, the cleaning and the preparation for MotionBuilder. Due to some factors that were not taken into consideration during testing, there cannot be any quantitative conclusion in this thesis to which system is the better one. Based on the findings of this study the authors can conclude that a markerless motion capture system is a viable method for game animation creation, yet not giving the same quality of results as a passive optical motion capture system.

Joint center location is the driving parameter for determining the kinematics, and later kinetics, associated with human motion capture. Therefore the accuracy with which said location is determined is of great import to any and all subsequent calculation and analysis. The most significant barrier to accurate determination of this parameter is soft tissue artifact, which contaminates the measurements of on-body measurement devices by allowing them to move relative to the underlying rigid bone. This leads to inaccuracy in both bone pose estimation and joint center location. The complexity of soft tissue artifact (it is nonlinear, multimodal, subject-specific, and trial specific) makes it difficult to model, and therefore difficult to mitigate. This thesis proposes a novel method, termed Single Frame Optimization, for determining joint center location (though mitigation of soft tissue artifact) via a linearization approach, in which the optimal vector relating a joint center to a corresponding inertial sensor is calculated at each time frame. This results in a time-varying joint center location vector that captures the relative motion due to soft tissue artifact, from which the relative motion could be isolated and removed. The method’s, and therefore the optimization’s, driving assumption is that the derivative terms in the kinematic equation are negligible relative to the rigid terms. More plainly, it is assumed that any relative motion can be assumed negligible in comparison with the rigid body motion in the chosen data frame. The validity of this assumption is investigated in a series of numerical simulations and experimental investigations. Each item in said series is presented as a chapter in this thesis, but retains the format of a standalone article. This is intended to foment critical analysis of the method at each stage in its development, rather than solely in its practical (and more developed) form.

No description available.

Universidade de Uberaba / In the past years, motion capture has been widely used in many application areas. In movies and games, motion capture is frequently employed to animate virtual characters. In sports, motion capture and analyses focus on optimizing movements of athletes and injury prevention. More applications areas include medicine, military and engineering. Motion capture can be accomplished by several technologies. However, optical marker-based systems are considered the gold standard of the motion capture field. They can offer high precision levels and flexibility to support most applications, but they are also the most expensive systems due to high costs of hardware and software. Although low-cost optical systems have been proposed in the last decade, these systems cannot provide enough precision, flexibility, automatism and/or real-time capability for a number of applications. In this context, the present research aims to develop a complete and high precision approach to track and reconstruct a cloud of independent markers, in real time, using multiple infrared specialized cameras. The proposed method includes a set of relatively simple algorithms which are part of a three-stage procedure. These stages work on the tracking and matching of the image points and spatial reconstruction of the marker trajectories. In order to evaluate the method, a prototype software has been implemented and experiments were performed using a pack of eight infrared cameras. The NaturalPoint s OptiTrack system, which includes the Arena software, was used as a reference system. In the experiments, the proposed technique was able to successfully track and reconstruct a set of 38 reflective markers in real time. When compared to the commercial software, the method performed better for automatically maker tracking. In addition, the reconstructed trajectories produced by the prototype software were far less contaminated by noise than the trajectories generated by the Arena software. The proposed method should encourage the development of new high performance systems at a more affordable price. / Nos últimos anos, os sistemas de captura de movimento vêm sendo aplicados em diversas áreas do conhecimento. A animação de personagens virtuais na indústria cinematográfica e a avaliação dos movimentos corporais em áreas da saúde e nos esportes são apenas algumas de suas diversas aplicações. Dos diferentes tipos de sistemas de captura de movimento existentes, os sistemas ópticos baseados em marcadores são reconhecidos como os mais avançados e os que oferecem níveis de precisão e flexibilidade suficientes para suportar o maior número de aplicações. Todavia, esses sistemas estão também entre os mais caros, devido ao alto preço dos elementos de hardware e software. As propostas de baixo custo existentes possuem limitações com relação à precisão, flexibilidade, automatismo e/ou velocidade de processamento, que as tornam inviáveis para uma considerável parcela de aplicações. Neste contexto, esta pesquisa propõe um método computacional completo, considerando as principais deficiências dos trabalhos existentes, para rastrear e reconstruir as trajetórias de uma nuvem de marcadores reflexivos independentes, em tempo real, utilizando múltiplas câmeras especializadas de infravermelho. A técnica proposta envolve um conjunto de algoritmos relativamente simples, os quais integram três etapas principais. Estas etapas realizam o rastreamento e o casamento dos pontos nas imagens e a reconstrução tridimensional das trajetórias dos marcadores. O método foi implementado em software e testado utilizando uma coleção de oito câmeras de infravermelho. Como referência, utilizou-se o software Arena e o sistema OptiTrack comercializado pela empresa NaturalPoint. Nos experimentos conduzidos, a técnica foi capaz de rastrear automaticamente um conjunto de 38 marcadores em tempo real. Comparada ao software comercial Arena, a técnica revelou uma melhor capacidade de rastreamento automático dos marcadores e ainda reconstruiu trajetórias com menor incidência de ruídos. O método proposto deve incentivar pesquisadores e empresas a desenvolverem sistemas de captura de movimento de alto desempenho e com menor custo. / Doutor em Ciências