Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 107 for “"Human Motion"”.
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Human motion prediction.
Motion data has been extensively used in the computer animation industry, feature films, pedestrian tracking, and surveillance. The capacity to understand and predict humans’ future movements is much sought-after, for it would have a range of practical applications in fields such as autonomous …
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Human motion synthesis and compression
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Example-based control of human motion
In human motion control applications, the mapping between a control specification and an appropriate target motion often defies an explicit encoding. This thesis presents a method that allows such a mapping to be defined by example, given that the control specification is recorded motion. The …
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Learning deformable models for tracking human motion
… be due to imaging errors (e.g. blurring due to motion) or due to part of an object becoming hidden from view. Conventional approaches to the problem of tracking non-rigid objects require complex hand-crafted models which are not easily adapted to different problems. A more recent approach uses …
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View-Invariance in Visual Human Motion Analysis
… solutions to two problems in the area of visual human motion analysis: human action recognition and human body pose estimation. Although there has been a substantial amount of research addressing these two problems in the past, the important issue of viewpoint invariance in the representation and …
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Ultra-Wideband Radar Based Human Motion Analysis
… techniques in ultra-wideband (UWB) radar based human motion analysis. The first one is accurate human body landmark detection using UWB radars. The detection is achieved by moving target indication (MTI) and constant false alarm rate detection (CFAR). A new CFAR detection technique is proposed, …
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Active tremor control of human motion disorder
All humans are subject to a physiological phenomenon known as tremor, which introduces unintended, relatively high-frequency movements into various parts of the body. These unintended movements serve to limit human motor performance with respect to normal human performance (for cases in which …
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Quantification of human motion on roller coaster rides
… to conceive of a system to capture total body motions and physiological properties, and to prove that the data can be successfully recorded. A system is built which would contain a series of sensor systems to sense and record various biomechanical and physiological parameters; with these data …
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Imitating human motion using humanoid upper body models
This thesis investigates human motion imitation of five different humanoid upper bodies (comprised of the torso and upper limbs) using human dance motion as a case study. The humanoid models are based on five existing humanoids, namely, ARMAR, HRP-2, SURALP, WABIAN-2, and WE-4RII. These humanoids …
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Untethered human motion recognition for a multimodal interface
… techniques to extract useful information about human body articulations. First, it presents a learning approach to model non-linear constraints; a support vector classifier is trained from motion capture data to model the boundary of the space of valid poses. Next, it proposes a system that …
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Towards versatile 3D human motion prediction in the wild
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01
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Images of human motion : changing representations of human identity
Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1982.
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Joint Angle Estimation Method for Wearable Human Motion Capture
… a method for estimating the positions of human limbs during motion that can be applied to wearable, textile-based sensors. The method was validated for the elbow and shoulder joints with data from two garments with resistive, thread-based sensors sewn into the garments at multiple …
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Estimation of 3D human motion kinematics model from multiple cameras
Estimation of articulated human motion based on video sequences acquired from multiple synchronised cameras is an active and challenging research area. This is mainly due to the need of high dimensional non-linear models to describe the human motion, cluttered data, and occlusions present in the …
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Human Motion Planning and -Adjustment during Obstacle Traversal in Virtual Reality
Safe and reliable locomotion is a fundamental aspect of human life, involving adaptive responses to environmental disturbances such as obstacles or slopes. With obstacle-related falls being a leading cause of injury, particularly among older adults, it is crucial to understand the processes …
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Robust human motion prediction for safe and efficient human-robot interaction
… 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 …
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Simulation of human motion data using short-horizon model-predictive control
… 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 …
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Markerless multiple-view human motion analysis using swarm optimisation and subspace learning
The fundamental task in human motion analysis is the extraction or capture of human motion and the established industrial technique is marker-based human motion capture. However, marker-based systems, apart from being expensive, are obtrusive and require a complex, time-consuming experimental …
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Vision-Based 3D Human Motion Analysis for Fall Detection and Bed-Exiting
… The recorded spatial coordinates of the human body joints from Kinect's 3D skeletal view are processed to extract posture features. Then the principle component analysis and k-means clustering algorithms are applied for dimensionality reduction, vector quantization and feature …
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