1,721,029 research outputs found
Inverse Dynamics Solution of an Upper Limb Rehabilitation Robot Using Deep Learning Approach
No full textTo efficiently control the motion of the upper limb rehabilitation robot, it is necessary that correct joint torques are provided. The analytical methods to compute the torque from the inverse dynamics are complex and intricate. For this purpose, a data driven approach based on deep learning model is presented in this study. The algorithm learns the position, velocities, and acceleration of the joints for a given trajectory and predicts the torque required. The results show the efficacy of the proposed algorithm in predicting the joint torques for the given dynamic parameters. The results obtained from this study can be further used in control of the upper limb rehabilitation robot.</p
REHABILITATION ROBOTS FOR ASSESSMENT AND DIAGNOSIS OF DISABILITIES
No full textLately, the use of robots in rehabilitation is widely accepted by clinics and therapists worldwide. Robots are being used for passive and active training to treat disabilities through physical therapy of patients with paralyzed or impaired movements due to strokes and other similar medical problems [1], [2]. However, due to number of problems such as lack quantifiable feedback, variance of training protocols and their efficacy between institutions and therapists[3], the observation of variation in biomechanical and bio signal parameters became vital. The main aim of the study is to use rehabilitation robots as a tool for two purposes, one of them being the treatment of disorders and disabilities, and the other being conducting pathophysiology and diagnosing the cause of disabilities. The main objective is to diagnosis Cerebral Palsy with the gait analysis and gait phase detection using Machine Learning algorithms
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Design Analysis and Control of Wearable Ankle Rehabilitation Robot
No full textWhile rehabilitation robots are not uncommon in the literature, they are undesirably inspired by industrial robot designs. Some of the shortcomings which are common to all these contemporary robots are, kinematic incompatibility, stiff actuation, non-backdrivability, high cost, unfriendly or intimidating appearance due to use of heavy and bulky electromagnetic actuators. Wearable robots, owing to their biologically inspired design, compliant actuation, backdrivability and safe use, are better candidates for rehabilitation robots compared to industrial robots. In recent years, wearable robots have received considerable attention and several instances such as exoskeletons, orthotics, and prosthetics have been proposed by researchers. However, there are certain challenges from the design and control perspective of wearable robots, which limit their wider implementation. Bio-inspired or biological design, kinematic compliance and holistic design optimization are the chief design issues, whereas, suitable actuation, development of appropriate physical and cognitive human-robot interaction are the essential control related concerns. Most of the skeletal joints in the human body are actuated by parallel action of a group of muscles and hence a bio-inspired wearable robot design is likely to be based on parallel mechanisms. Impending research issues associated with the use of parallel mechanism are small workspace, abundance of singularities and unavailability of forward kinematics solution. Ambulatory requirement of the wearable robots also calls for compact, light weight, and energy proficient technologies for actuators, sensors, and controllers. This thesis explores the wide-ranging potential of wearable robots in rehabilitation in the pretext of a wearable ankle rehabilitation robot. In this research, a parallel mechanism based wearable robot for ankle rehabilitation was developed to study design and control related aspects of wearable robots in general. Arrangement of actuators, in the kinematically compliant design, had been carefully selected to allow natural foot-ankle motions while keeping the ankle joint position stationary. A fuzzy based computational model was developed in this research to provide a unique solution for the forward kinematics of parallel robots. The proposed method is accurate and time efficient compared to previous methods proposed in the literature. The fast computation of forward kinematics has facilitated its online use in the controller replacing use of heavy inclinometers. A complete design analysis had been carried out by mathematically formulating important performance indices affecting robot performance in three major aspects such as, kinematic, actuation and structural aspects. Initially, a single objective optimisation approach was adopted following past practice, wherein a performance index called global condition number was optimized. Analysis of the results shows that some of the objectives were of conflicting nature and hence the single objective approach could not optimize all the performance criteria simultaneously. Subsequently, robot design optimization was carried out using existing multiobjective optimization methods, namely, preference based optimization and the evolutionary algorithm (EA) based optimization. Interestingly, these existing optimization methods were also found to be unsuccessful due to the incompatible and contradictory nature of objectives, their large number and continuous solution space. Further investigation in the EA methodology revealed fundamental shortcomings in the existing NSGA II approach. As a result of subsequent research efforts, a major breakthrough was achieved through the development of a fuzzy dominance based evolutionary optimization method to address the inadequacies of existing EA approach. Finally, the robot design optimization was carried out using newly developed fuzzy sorting genetic algorithm (FSGA) and the wearable robot was constructed using the optimized design. To improve the compliance of the wearable robot, light weight yet powerful actuators called Pneumatic muscle actuators (PMA) were used which exhibit skeletal muscle like behaviour. Construction of a dynamic model of the PMA was a difficult task owing to their non-linear and time dependent behaviour. Therefore, a Mamdani based fuzzy model was developed and optimized to accurately predict the PMA behaviour in the presence of an external force. The forward kinematics model of the robot and the dynamic model of PMA were finally incorporated in an overall fuzzy controller designed for the position control of the wearable robot. Apart from the conceptualization of a wearable ankle robot design, optimization of two variants of fuzzy inference systems namely, Takagi-Sugeno fuzzy system and Mamdani fuzzy system as well as their distinctive uses in this thesis are important contributions of the present research. The major contribution of this research lies in the development of a fuzzy dominance based evolutionary optimization method which is a strong alternate to the predominantly used evolutionary algorithm NSGA II, which has been used in diverse optimization applications over the last two decades
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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