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Relevant bibliographies by topics / Human Motion Prediction / Dissertations / Theses

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Dissertations / Theses on the topic 'Human Motion Prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Lasota, Przemyslaw A. (Przemyslaw Andrzej). "Robust human motion prediction for safe and efficient human-robot interaction." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122497.

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Thesis: Ph. D. in Autonomous Systems, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 175-188).<br>From robotic co-workers in factories to assistive robots in homes, human-robot interaction (HRI) has the potential to revolutionize a large array of domains by enabling robotic assistance where it was previously not possible. Introducing robots into human-occupied domains, however, requires strong consideration for the safety and efficiency of the interaction. One particu

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Conte, Dean Edward. "Autonomous Robotic Escort Incorporating Motion Prediction with Human Intention." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102581.

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This thesis presents a framework for a mobile robot to escort a human to their destination successfully and efficiently. The proposed technique uses accurate path prediction incorporating human intention to locate the robot in front of the human while walking. Human intention is inferred by the head pose, an effective past-proven implicit indicator of intention, and fused with conventional physics-based motion prediction. The human trajectory is estimated and predicted using a particle filter because of the human's nonlinear and non-Gaussian behavior, and the robot control action is determined

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Bataineh, Mohammad Hindi. "New neural network for real-time human dynamic motion prediction." Thesis, The University of Iowa, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3711174.

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<p> Artificial neural networks (ANNs) have been used successfully in various practical problems. Though extensive improvements on different types of ANNs have been made to improve their performance, each ANN design still experiences its own limitations. The existing digital human models are mature enough to provide accurate and useful results for different tasks and scenarios under various conditions. There is, however, a critical need for these models to run in real time, especially those with large-scale problems like motion prediction which can be computationally demanding. For even small c

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Matsangas, Panagiotis. "A linear physiological visual-vestibular interaction model for the prediction of motion sickness incidence." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FMatsangas.pdf.

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Thesis (M.S. in Operations Research and M.S. in Modeling, Virtual Environments and Simulation)--Naval Postgraduate School, Sept. 2004.<br>Thesis Advisor(s): Michael McCauley, Nita Miller. Includes bibliographical references (p. 149-162). Also available online.

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Wang, Anqi. "Prediction of Human Hand Motions based on Surface Electromyography." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78289.

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Tracking human hand motions has raised more attention due to the recent advancements of virtual reality (Rheingold, 1991) and prosthesis control (Antfolk et al., 2010). Surface electromyography (sEMG) has been the predominant method for sensing electrical activity in biomechanical studies, and has also been applied to motion tracking in recent years. While most studies focus on the classification of human hand motions within a predefined motion set, the prediction of continuous finger joint angles and wrist angles remains a challenging endeavor. In this research, a biomechanical knowledge-driv

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6

Kelling, Nicholas J. "An investigation of human capability to predict the future location of objects in motion." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28103.

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Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Gregory M. Corso; Committee Member: Dr. Arthur D. Fisk; Committee Member: Dr. Bruce Walker; Committee Member: Dr. Lawrence R. James; Committee Member: Dr. Paul Corballis; Committee Member: Dr. Robert Gregor

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7

Fan, Zheyu Jerry. "Kalman Filter Based Approach : Real-time Control-based Human Motion Prediction in Teleoperation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189210.

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This work is to investigate the performance of two Kalman Filter Algorithms, namely Linear Kalman Filter and Extended Kalman Filter on control-based human motion prediction in a real-time teleoperation. The Kalman Filter Algorithm has been widely used in research areas of motion tracking and GPS-navigation. However, the potential of human motion prediction by utilizing this algorithm is rarely being mentioned. Combine with the known issue - the delay issue in today’s teleoperation services, the author decided to build a prototype of simple teleoperation model based on the Kalman Filter Algorit

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Verveniotis, Christos S. "Prediction of motion sickness on high-speed passenger vessels : a human-oriented approach." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415297.

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9

Boonpratatong, Amaraporn. "Motion prediction and dynamic stability analysis of human walking : the effect of leg property." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/motion-prediction-and-dynamic-stability-analysis-of-human-walking-the-effect-of-leg-property(f36922af-1231-4dac-a92f-a16cbed8d701).html.

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The objective of this thesis is to develop and validate a computational framework based on mathematical models for the motion prediction and dynamic stability quantification of human walking, which can differentiate the dynamic stability of human walking with different mechanical properties of the leg. Firstly, a large measurement database of human walking motion was created. It contains walking measurement data of 8 subjects on 3 self-selected walking speeds, which 10 trials were recorded at each walking speed. The motion of whole-body centre of mass and the leg were calculated from the kinet

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10

Bataineh, Mohammad Hindi. "Artificial neural network for studying human performance." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/3259.

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The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for improvement, especially with respect to posture- and motion-prediction. Thus, this thesis investigates the use of artificial neural network (ANN) for improving predictive capabilities and for better understanding how and why human behave the way they do. Wit

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11

Sheth, Katha Janak. "Model predictive control for adaptive digital human modeling." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/884.

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We consider a new approach to digital human simulation, using Model Predictive Control (MPC). This approach permits a virtual human to react online to unanticipated disturbances that occur in the course of performing a task. In particular, we predict the motion of a virtual human in response to two different types of real world disturbances: impulsive and sustained. This stands in contrast to prior approaches where all such disturbances need to be known a priori and the optimal reactions must be computed off line. We validate this approach using a planar 3 degrees of freedom serial chain mecha

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12

Dong, Minjing. "Modelling Skeleton-based Human Dynamics via Retrospection." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/21089.

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Human motion prediction is one of the key problems in computer vision and robotic vision and has received increasing attention in recent years. The target is to generate the future continuous, realistic human poses given a seed sequence, which can further assist human motion analysis. However, due to the high-uncertainty, it is difficult and challenging to model human dynamics which not only requires spatial information including complicated joint correlations, but also temporal information including periodic properties. Recently, deep recurrent neural networks (RNNs) have achieved impressive

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13

Sierra, Gonzalez David. "Towards Human-Like Prediction and Decision-Making for Automated Vehicles in Highway Scenarios." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM012/document.

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Au cours des dernières décennies, les constructeurs automobiles ont constamment introduit des innovations technologiques visant à rendre les véhicules plus sûrs. Le niveau de sophistication de ces systèmes avancés d’aide à la conduite s’est accru parallèlement aux progrès de la technologie des capteurs et de la puissance informatique intégrée. Plus récemment, une grande partie de la recherche effectuée par l'industrie et les institutions s'est concentrée sur l'obtention d'une conduite entièrement automatisée. Les avantages sociétaux potentiels de cette technologie sont nombreux, notamment des

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Roach, Jeffrey Wayne. "Predicting Realistic Standing Postures in a Real-Time Environment." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/291.

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Procedural human motion generation is still an open area of research. Most research into procedural human motion focus on two problem areas: the realism of the generated motion and the computation time required to generate the motion. Realism is a problem because humans are very adept at spotting the subtle nuances of human motion and so the computer generated motion tends to look mechanical. Computation time is a problem because the complexity of the motion generation algorithms results in lengthy processing times for greater levels of realism. The balancing human problem poses the question o

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Nitz, Pettersson Hannes, and Samuel Vikström. "VISION-BASED ROBOT CONTROLLER FOR HUMAN-ROBOT INTERACTION USING PREDICTIVE ALGORITHMS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54609.

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The demand for robots to work in environments together with humans is growing. This calls for new requirements on robots systems, such as the need to be perceived as responsive and accurate in human interactions. This thesis explores the possibility of using AI methods to predict the movement of a human and evaluating if that information can assist a robot with human interactions. The AI methods that were used is a Long Short Term Memory(LSTM) network and an artificial neural network(ANN). Both networks were trained on data from a motion capture dataset and on four different prediction times:

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16

Zecha, Dan [Verfasser], and Rainer [Akademischer Betreuer] Lienhart. "Motion Kinematics and Dynamics Prediction Using Human Pose Estimation in Videos - Towards Automated, Kinematical Profiling of Swimmers and Ski Jumpers / Dan Zecha ; Betreuer: Rainer Lienhart." Augsburg : Universität Augsburg, 2020. http://d-nb.info/1215500424/34.

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17

Edvardsson, Andreas, and Lucas Grönlund. "Online Predictions of Human Motion." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210845.

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Collaboration between humans and robots is becoming an increasingly commonoccurrence in both industry and homes, more so with every forthcomingtechnological advance. This paper examines the possibilities of performinghuman hand movement predictions on the fly, e.g. by only using informationup to the specific moment in time of which the prediction is carried out.Specifically, data will be collected using a Kinect (v.1).The model used for the predictor developed is the Minimum Jerk model,which states that certain multi-joint reaching movements are planned in sucha way that the hand is to follow

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18

Dariush, Behzad. "Predictive and measurement-oriented analysis and synthesis of human motion /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487949836206347.

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19

Silva, Marco Jorge Tome da. "Simulation of human motion data using short-horizon model-predictive control." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43041.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>Includes bibliographical references (p. 52-56).<br>Many data-driven animation techniques are capable of producing high quality motions of human characters. Few techniques, however, are capable of generating motions that are consistent with physically simulated environments. Physically simulated characters, in contrast, are automatically consistent with the environment, but their motions are often unnatural because they are difficult to control. We present a model-predictive cont

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20

Karst, Gregory Mark. "Multijoint arm movements: Predictions and observations regarding initial muscle activity at the shoulder and elbow." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184920.

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Understanding the control strategies that underlie multijoint limb movements is important to researchers in motor control, robotics, and medicine. Due to dynamic interactions between limb segments, choosing appropriate muscle activations for initiating multijoint arm movements is a complex problem, and the rules by which the nervous system makes such choices are not yet understood. The aim of the dissertation studies was to evaluate some proposed initiation rules based on their ability to correctly predict which shoulder and elbow muscles initiated planar, two-joint arm movements in various di

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21

Hagnell, Fredrik. "Predicting Human Movement Patterns in an Office Environment." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188787.

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This project is built on the idea of predicting future human movement in an area. The algorithm’s predictions are based on previous movements in the area which has to be recorded somehow. For this a device with a motion sensor was setup to monitor the movement in a hallway in an office. This data was then used to test and evaluate the prediction algorithm. To give feedback about the movement and how it is changing to the people working in the office the setup device shows sentences on a monitor which describes the movement. The project resulted in a fully working application which measures peo

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22

Lura, Derek James. "The Creation of a Robotics Based Human Upper Body Model for Predictive Simulation of Prostheses Performance." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4133.

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This work focuses on the use of 3D motion capture data to create and optimize a robotic human body model (RHBM) to predict the inverse kinematics of the upper body. The RHBM is a 25 degrees of freedom (DoFs) upper body model with subject specific kinematic parameters. The model was developed to predict the inverse kinematics of the upper body in the simulation of a virtual person, including persons with functional limitations such as a transradial or transhumeral amputation. Motion data were collected from 14 subjects: 10 non-amputees control subjects, 1 person with a transradial amputation, a

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23

Chen, Zhuo, and 陈卓. "A methodology for trajectory based learning and prediction of human motions in visual surveillance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47145985.

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24

Hariri, Mahdiar. "A study of optimization-based predictive dynamics method for digital human modeling." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2886.

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This study develops theorems which generalize or improve the existing predictive dynamics method and implements them to simulate several motion tasks of a human model. Specifically, the problem of determination of contact forces (non-adhesive) between the environment and the digital human model is addressed. Determination of accurate contact forces is used in the calculation of joint torques and is important to account for human strength limitations in simulation of various tasks. It is shown that calculation of the contac

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25

Seth, Ajay. "A Predictive Control Method for Human Upper-Limb Motion: Graph-Theoretic Modelling, Dynamic Optimization, and Experimental Investigations." Thesis, University of Waterloo, 2000. http://hdl.handle.net/10012/787.

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Optimal control methods are applied to mechanical models in order to predict the control strategies in human arm movements. Optimality criteria are used to determine unique controls for a biomechanical model of the human upper-limb with redundant actuators. The motivation for this thesis is to provide a non-task-specific method of motion prediction as a tool for movement researchers and for controlling human models within virtual prototyping environments. The current strategy is based on determining the muscle activation levels (control signals) necessary to perform a task that optimize

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26

Wangerin, Spencer D. "Development and validation of a human knee joint finite element model for tissue stress and strain predictions during exercise." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1129.

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Osteoarthritis (OA) is a degenerative condition of cartilage and is the leading cost of disability in the United States. Motion analysis experiments in combination with knee-joint finite element (FE) analysis may be used to identify exercises that maintain knee-joint osteochondral (OC) loading at safe levels for patients at high-risk for knee OA, individuals with modest OC defects, or patients rehabilitating after surgical interventions. Therefore, a detailed total knee-joint FE model was developed by modifying open-source knee-joint geometries in order to predict OC tissue stress and strain d

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Desmet, François-Olivier. "Bioinformatique et épissage dans les pathologies humaines." Thesis, Montpellier 1, 2010. http://www.theses.fr/2010MON1T017.

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Découvert en 1977, l'épissage est une étape de maturation post-transcriptionnelle consistant à rabouter les exons et éliminer les introns d'un ARN pré-messager. Pour que l'épissage soit correctement pris en charge par l'épisome et ses protéines auxiliaires, différents signaux sont présents le long de la séquence de l'ARN pré-messager. Il est maintenant reconnu que près de la moitié des mutations pathogènes chez l'homme impactent l'épissage, aboutissant à un dysfonctionnement du gène. Il est ainsi indispensable pour les biologistes d'être capables de détecter ces signaux sur une séquence génomi

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Makkar, Guneet. "The Role of conventional sperm parameters, quantitative motile characteristics and acrosome reaction of spermatozoa in predicting successful outcome following artificial insemination." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22505507.

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Rengifo, cadavid Carolina. "Contrôle plateforme pour la validation du véhicule autonome sur simulateur dynamique à hautes performances." Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAE023.

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Les travaux présentés dans ce manuscrit s'inscrivent dans le contexte de la simulation de conduite et plus concrètement dans celui des simulateurs de conduite dynamique a hautes performances utilises pour la validation des systèmes avances et du véhicule autonome. Afin de répondre aux enjeux de performance et de perception du mouvement, nous présentons différentes approches d’amélioration des algorithmes de restitution de mouvement (MCA). L'ensemble de nos études montre que la stratégie de contrôle prédictif est le meilleur choix pour contrôler les mouvements des nouveaux simulateurs a hautes

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Fioravanço, Lucas Monteiro. "Human-aware Collaborative Manipulation with Reaching Motion Prediction." Master's thesis, 2021. http://hdl.handle.net/10362/125779.

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This dissertations presents a possible approach to improve human-robot interaction in an industrial collaborative situation, where the human operator and a collaborative industrial robot work within a shared work-space. The approach presented in this dissertation focuses on a situation where part of the assembly process needs to be carried out by a human operator, whose assembly station is located on a work-bench, and a robot is used to pick and place products in specific locations on the operator’s work station. Because those locations can be accessed both by the robot or the human oper

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31

MURANAGA), XU YE (AKIRA, and 葉旭 (村永旭). "On Human Motion Prediction Using Bidirectional Encoder Representations from Transformers." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/du2jv4.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>107<br>Pose prediction found applications in a variety of areas. However, current methods adopting recurrent neural networks suffer from error accumulation in the training stage. Furthermore, encoder-decoder architecture in general fails to predict continuous poses between the end of the encoder input and the beginning of the decoder output. Benefiting from the recent successes of the attention mechanism, in the thesis, we propose a novel method which combined the transformer encoder architecture and universal transformer. The new architecture is free of error accumu

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32

CHO, YU, and 卓諭. "Deep Learning Based Real-Time Human Action Recognition and Motion Prediction System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fw9pre.

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碩士<br>國立臺北科技大學<br>電機工程系<br>107<br>In the field of machine intelligence, it is a necessary task also a challenge for machines to understand human behavior. In order to improve the efficiency of human-machine interaction, the accuracy of scene understanding or the early warning of unexpected situations, human action recognition and motion prediction become important keys. First, in the human action recognition task, this thesis regards it as a classification problem, and uses the sequence of the human body pose to classify the action labels. A simple action recognition neural network architectur

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Ruiz, Jaime. "Predicting Endpoint of Goal-Directed Motion in Modern Desktop Interfaces using Motion Kinematics." Thesis, 2012. http://hdl.handle.net/10012/6666.

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Researchers who study pointing facilitation have identified the ability to identify--during motion--the likely target of a user's pointing gesture, as a necessary precursor to pointing facilitation in modern computer interfaces. To address this need, we develop and analyze how an understanding of the underlying characteristics of motion can enhance our ability to predict the target or endpoint of a goal-directed movement in graphical user interfaces. Using established laws of motion and an analysis of users' kinematic profiles, we demonstrate that the initial 90% of motion is primarly balisti

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Gonçalves, Diogo Barata. "Towards real-time recognition and prediction of human and humanoid robot locomotion modes." Master's thesis, 2018. http://hdl.handle.net/1822/59364.

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Dissertação de mestrado em Industrial Electronics and Computer Engineering<br>Several afflictions can affect a person’s ability to walk from muscular impairments, weakness or neurologic injury. In many of these cases, rehabilitation is essential for a full recovery. With the advances in the field of robotics and its bigger integration in rehabilitation, namely in the form of active orthosis and prosthesis, novel solutions to old challenges are made available. One of these challenges is the ability to use these assistive devices seamlessly without expert intervention in a subject’s daily life.

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Purkayastha, Sagar. "Analysis of human movement for a complex dynamic task: What predicts success?" Thesis, 2013. http://hdl.handle.net/1911/72025.

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This thesis identiﬁes and analyzes successful movement strategies for the completion of a complex dynamic task. In the past it has been shown that movement strategies correlate well to performance for simple tasks. Therefore, in this thesis I was motivated to ﬁnd out if motion based metrics correlated well to performance for more complicated motor tasks. First, the Nintendo Wiimote was veriﬁed as a suitable gaming interface enabling gross human motion capture through experimental comparisons with other gaming interfaces and precision sensors. Then, a complex motor task was rendered in an open-

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Jardim, David Walter Figueira. "Human activity recognition and prediction in RGB-D videos." Doctoral thesis, 2018. http://hdl.handle.net/10071/19571.

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Reconhecimento de atividade humana é uma área de investigação multidisciplinar que tem atraído o interesse de investigadores especializados em aprendizagem automática, visão por computador e medicina. Esta área tem diversas aplicações: sistemas de vigilância, interação homem-máquina, análise de desportos, robôs colaborativos, saúde e automóveis autónomos. Capturar atividade humana apresenta diﬁculdades técnicas como oclusão, iluminação insuﬁciente, seguimento erróneo e questões éticas. O movimento humano pode ser ambíguo e com múltiplas intenções. A forma como interagimos com outros seres huma

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Wei-Chih, Lin. "Predicting Novel Gene Regulatory Motifs based on Hypothetical Genes in Human Genome Using Phylogenetic Footprinting." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709471490.

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Lin, Wei-Chih, and 林威志. "Predicting Novel Gene Regulatory Motifs based on Hypothetical Genes in Human Genome Using Phylogenetic Footprinting." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/65161283459571999355.

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碩士<br>國立清華大學<br>資訊系統與應用研究所<br>94<br>Functional genomics focuses on assigning genes into functional categories and providing a comprehensive understanding of genetic networks. Genetic networks are complicated to perform complex biological tasks. Lots of works are still working on deciphering it and forcing to higher accuracy of algorithm. But there are still about one-fourth of genes in human genome functionally indistinct and are annotated to hypothetical genes. Genes involve in the same biological process are often regulated by similar transcriptional mechanism and are likely to contain simil

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