Author: M. M. AyoubPublisher:
ISBN:
Category : Biomechanics
Languages : en
Pages : 9
Book Description
A Model to Predict Human Motion During Lifting
Author: M. M. AyoubPublisher:
ISBN:
Category : Biomechanics
Languages : en
Pages : 9
Book Description
Optimization Based Dynamic Human Motion Prediction with Modular Exoskeleton Robots as Interactive Forces
Author: Hyun-Joon ChungPublisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
The optimization-based dynamics model is formulated for the weight lifting motion with human and exoskeleton model as interactive force term in this chapter. In the optimization algorithm, the human motion is defined as variables so that the motion which we want to generate (box lifting motion in this case) can be predicted. The objective function or cost function is defined as performance measure which can be switched by developer. In this paper we use the summation of each joint torque square which is considered as the dynamic effort for the motion. Constraints are defined as joint limits, torque limits, hand position, dynamic balance, exoskeleton assistive points, etc. Interaction force form exoskeleton robot can be derived as generalized coordinates and generalized force which are related to inertial reference frame and human body frame. The results can show how effective the exoskeleton robots are according to their assistive force.
Human Motion Simulation
Author: Karim Abdel-MalekPublisher: Academic Press
ISBN: 0124046010
Category : Computers
Languages : en
Pages : 296
Book Description
Simulate realistic human motion in a virtual world with an optimization-based approach to motion prediction. With this approach, motion is governed by human performance measures, such as speed and energy, which act as objective functions to be optimized. Constraints on joint torques and angles are imposed quite easily. Predicting motion in this way allows one to use avatars to study how and why humans move the way they do, given specific scenarios. It also enables avatars to react to infinitely many scenarios with substantial autonomy. With this approach it is possible to predict dynamic motion without having to integrate equations of motion -- rather than solving equations of motion, this approach solves for a continuous time-dependent curve characterizing joint variables (also called joint profiles) for every degree of freedom. Introduces rigorous mathematical methods for digital human modelling and simulation Focuses on understanding and representing spatial relationships (3D) of biomechanics Develops an innovative optimization-based approach to predicting human movement Extensively illustrated with 3D images of simulated human motion (full color in the ebook version)
Working Postures and Movements
Author: Nico J. DellemanPublisher: CRC Press
ISBN: 1482265095
Category : Business & Economics
Languages : en
Pages : 504
Book Description
In most industries, musculoskeletal injuries are the most common work-related reason for employee absences. These injuries are often caused by static postures or repetitive movements that have to be maintained for many hours a day, such as intensive use of data entry devices, assembly work, parts inspection, equipment maintenance, manual materials
Prediction and Estimation of Human Motion Using Generative-Adversarial Network
Author: Amogh Subbakrishna AdisheshaPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Prediction of the human motion model has been an intrinsic part of several applicationsover diverse fields like gaming, augmented reality and cinematic graphics. The ability to estimatemotion, ahead of time, helps robots predict human action and thus reduce time to reacteffectively. In real time applications such as pedestrian motion prediction, the availability of longmotion sequences at test time is rare. In this work, we propose a new architecture to predictivelymodel human motion partially from noise. We utilize the data synthesizing ability of GenerativeAdversarial Networks(GANs) to provide artificial motion frames that help in prediction of themotion sequence in an LSTM-RNN framework. The well proven Recurrent Neural Network isused as a discriminator in training a weaker LSTM generator that we later exploit in creatingground truth like data from randomly sampled frames with mean pose and added noise. Pivotingon the evaluation metrics used in latest works, we discuss the recent motion prediction techniquesand compare the results. We also evaluate the training procedures, input requirements andcomplexity of the structures, thus illustrating the simplicity and accuracy of a GAN based inputreduction model.
Development of Models for Prediction of Optimal Lifting Motion
Author: M. M. AyoubPublisher:
ISBN:
Category : Lifting and carrying
Languages : en
Pages : 94
Book Description
Human Motion
Author: Bodo RosenhahnPublisher: Springer Science & Business Media
ISBN: 1402066929
Category : Computers
Languages : en
Pages : 628
Book Description
This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.
Bio-inspired computation and its applications
Author: Tinggui ChenPublisher: Frontiers Media SA
ISBN: 2832527833
Category : Science
Languages : en
Pages : 939
Book Description
Physical Ergonomics and Human Factors
Author: Ravindra S. Goonetilleke • Shuping XiongPublisher: AHFE International
ISBN: 1958651397
Category : Technology & Engineering
Languages : en
Pages : 251
Book Description
Physical Ergonomics and Human Factors Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA
Collaborative and Humanoid Robots
Author: Jesus Hamilton OrtizPublisher: BoD – Books on Demand
ISBN: 1839687398
Category : Technology & Engineering
Languages : en
Pages : 184
Book Description
Collaborative and Humanoid Robots guides readers through the fundamentals and state-of-the-art concepts and future expectations of robotics. It showcases interesting research topics on robots and cobots by researchers, industry practitioners, and academics. Divided into two sections on “Collaborative Robots” and “Humanoid Robots,” this book includes surveys of recent publications that investigative the interaction between humanoid robots and humans; safe adaptive trajectory tracking control of robots; 3D printed, self-learning robots; robot trajectory, guidance, and control; social robots; Tiny Blind assistive humanoid robots; and more.