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.
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Showing 1 to 11 of 11 for “"Human Motion Analysis"”.
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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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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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Spatial and Temporal Performance Characteristics in a Two-Dimensional Human Motion Analysis System Using Digital Video Capture
… characteristics in a two-dimensional (2D) human motion analysis system using commercially available digital video capture. The first testing protocol involved developing a method to evaluate system spatial performance characteristics with respect to accuracy, precision, and resolution. A …
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Automatic Segmentation of Pressure Images Acquired in a Clinical Setting
… loading of specific anatomical sites. A human motion analysis system capable of automatically segmenting a patient's body into high-risk areas can greatly improve the ability of researchers and clinicians to understand how pressure ulcers develop in a hospital environment. This project …
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The effects of fatigue on the mechanics of forward maximum velocity power skating in skilled and less-skilled skaters.
… into one three-dimensional view via a human motion analysis program. Analyses of variance tests were conducted for each dependent variable to indicate differences in the skating mechanics between skaters of different skill levels and changes that occurred due to fatigue. Few differences …
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Accurate On-Body Distance Estimation using BLE RSSI and IMU Sensor Fusion
… robust, short-range distance estimation on the human body remains a challenging area, primarily due to signal instability caused by multipath fading and body shadowing. This thesis presents a novel framework that fuses BLE RSSI with Inertial Measurement Unit (IMU) orientation data to overcome …
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Direct application of the least action principle to solve (human) movement dynamics without using differential equations of motion
… explores the numerical feasibility of solving motion 2-point boundary value problems (BVPs) by direct numerical minimization of the action without using the equations of motion (EOM) as an intermediate step. The proposed direct least action (DLA) approach using the downhill simplex method (DSM) …
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Human Activity Analysis
… with higher resolution and frame-rates. Humans are often the focus of these videos, making human motion analysis an important field. This thesis explores the level of detail necessary to distinguish human activities for tasks of regression, like body tracking, and activity …
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Empowering vision machine perception for robust telehealth applications
Today, the healthcare system faces significant challenges driven by a shortage of health workers, the growing demand for personalized care, and an aging population. This creates a crisis of bottlenecks in symptom triage and longitudinal monitoring. Digital telehealth toolbox and AI-assisted …