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Articles 1 - 3 of 3
Full-Text Articles in Robotics
The Design And Development Of A Wrist-Hand Orthosis, Amber Gatto
The Design And Development Of A Wrist-Hand Orthosis, Amber Gatto
USF Tampa Graduate Theses and Dissertations
Individuals with an incomplete C5-C7 spinal cord injury (SCI) lose grasping abilities but wrist function is almost universally retained. Most rehabilitation techniques apply the tenodesis effect, however, current tenodesis wrist-hand orthoses (WHOs) engage only the thumb and index finger, meaning that only 20% of activities of daily living (ADLs) can be completed.
This study tested the feasibility of a student-designed powered WHO by testing the device on healthy subjects to see if they could complete a variety of ADLs. A simulation software was then used to analyze wrist, thumb, and index finger joint angles. Additionally, an Assistive Technology Survey was …
Application Of Advanced Algorithms And Statistical Techniques For Weed-Plant Discrimination, Saman Akbar Zadeh
Application Of Advanced Algorithms And Statistical Techniques For Weed-Plant Discrimination, Saman Akbar Zadeh
Theses: Doctorates and Masters
Precision agriculture requires automated systems for weed detection as weeds compete with the crop for water, nutrients, and light. The purpose of this study is to investigate the use of machine learning methods to classify weeds/crops in agriculture. Statistical methods, support vector machines, convolutional neural networks (CNNs) are introduced, investigated and optimized as classifiers to provide high accuracy at high vehicular speed for weed detection.
Initially, Support Vector Machine (SVM) algorithms are developed for weed-crop discrimination and their accuracies are compared with a conventional data-aggregation method based on the evaluation of discrete Normalised Difference Vegetation Indices (NDVIs) at two different …
Automated And Standardized Tools For Realistic, Generic Musculoskeletal Model Development, Trevor Rees Moon
Automated And Standardized Tools For Realistic, Generic Musculoskeletal Model Development, Trevor Rees Moon
Graduate Theses, Dissertations, and Problem Reports
Human movement is an instinctive yet challenging task that involves complex interactions between the neuromusculoskeletal system and its interaction with the surrounding environment. One key obstacle in the understanding of human locomotion is the availability and validity of experimental data or computational models. Corresponding measurements describing the relationships of the nervous and musculoskeletal systems and their dynamics are highly variable. Likewise, computational models and musculoskeletal models in particular are vitally dependent on these measurements to define model behavior and mechanics. These measurements are often sparse and disparate due to unsystematic data collection containing variable methodologies and reporting conventions. To date, …