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Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from

Reliable extraction of human pose features that are invariant to view angle and body shape changes is critical for advancing human movement analysis. In this dissertation, the multifactor analysis techniques, including the multilinear analysis and the multifactor Gaussian process methods, have been exploited to extract such invariant pose features from video data by decomposing various key contributing factors, such as pose, view angle, and body shape, in the generation of the image observations. Experimental results have shown that the resulting pose features extracted using the proposed methods exhibit excellent invariance properties to changes in view angles and body shapes. Furthermore, using the proposed invariant multifactor pose features, a suite of simple while effective algorithms have been developed to solve the movement recognition and pose estimation problems. Using these proposed algorithms, excellent human movement analysis results have been obtained, and most of them are superior to those obtained from state-of-the-art algorithms on the same testing datasets. Moreover, a number of key movement analysis challenges, including robust online gesture spotting and multi-camera gesture recognition, have also been addressed in this research. To this end, an online gesture spotting framework has been developed to automatically detect and learn non-gesture movement patterns to improve gesture localization and recognition from continuous data streams using a hidden Markov network. In addition, the optimal data fusion scheme has been investigated for multicamera gesture recognition, and the decision-level camera fusion scheme using the product rule has been found to be optimal for gesture recognition using multiple uncalibrated cameras. Furthermore, the challenge of optimal camera selection in multi-camera gesture recognition has also been tackled. A measure to quantify the complementary strength across cameras has been proposed. Experimental results obtained from a real-life gesture recognition dataset have shown that the optimal camera combinations identified according to the proposed complementary measure always lead to the best gesture recognition results.
ContributorsPeng, Bo (Author) / Qian, Gang (Thesis advisor) / Ye, Jieping (Committee member) / Li, Baoxin (Committee member) / Spanias, Andreas (Committee member) / Arizona State University (Publisher)
Created2011
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Description
With the introduction of compressed sensing and sparse representation,many image processing and computer vision problems have been looked at in a new way. Recent trends indicate that many challenging computer vision and image processing problems are being solved using compressive sensing and sparse representation algorithms. This thesis assays some applications

With the introduction of compressed sensing and sparse representation,many image processing and computer vision problems have been looked at in a new way. Recent trends indicate that many challenging computer vision and image processing problems are being solved using compressive sensing and sparse representation algorithms. This thesis assays some applications of compressive sensing and sparse representation with regards to image enhancement, restoration and classication. The first application deals with image Super-Resolution through compressive sensing based sparse representation. A novel framework is developed for understanding and analyzing some of the implications of compressive sensing in reconstruction and recovery of an image through raw-sampled and trained dictionaries. Properties of the projection operator and the dictionary are examined and the corresponding results presented. In the second application a novel technique for representing image classes uniquely in a high-dimensional space for image classification is presented. In this method, design and implementation strategy of the image classification system through unique affine sparse codes is presented, which leads to state of the art results. This further leads to analysis of some of the properties attributed to these unique sparse codes. In addition to obtaining these codes, a strong classier is designed and implemented to boost the results obtained. Evaluation with publicly available datasets shows that the proposed method outperforms other state of the art results in image classication. The final part of the thesis deals with image denoising with a novel approach towards obtaining high quality denoised image patches using only a single image. A new technique is proposed to obtain highly correlated image patches through sparse representation, which are then subjected to matrix completion to obtain high quality image patches. Experiments suggest that there may exist a structure within a noisy image which can be exploited for denoising through a low-rank constraint.
ContributorsKulkarni, Naveen (Author) / Li, Baoxin (Thesis advisor) / Ye, Jieping (Committee member) / Sen, Arunabha (Committee member) / Arizona State University (Publisher)
Created2011
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Description
Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them

Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. To validate these approaches in a disease-specific context, we built a schizophreniaspecific network based on the inferred associations and performed a comprehensive prioritization of human genes with respect to the disease. These results are expected to be validated empirically, but computational validation using known targets are very positive.
ContributorsLee, Jang (Author) / Gonzalez, Graciela (Thesis advisor) / Ye, Jieping (Committee member) / Davulcu, Hasan (Committee member) / Gallitano-Mendel, Amelia (Committee member) / Arizona State University (Publisher)
Created2011
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Description

This case study describes an adult patient whose brachial plexus injury was treated with various modalities and exercise. The participant of this study was a 76 year old female who sustained a brachial plexus injury during an elective reverse total shoulder arthroplasty. The initial evaluation reported only passive range of

This case study describes an adult patient whose brachial plexus injury was treated with various modalities and exercise. The participant of this study was a 76 year old female who sustained a brachial plexus injury during an elective reverse total shoulder arthroplasty. The initial evaluation reported only passive range of motion with 90 degrees shoulder flexion, 85 degrees abduction, and 30 degrees external rotation. Muscle testing yielded significantly limited wrist and digit extension strength. Testing of sensation found diminished protective sensation along the median nerve distribution, including the thumb, index finger, and middle finger. Occupational therapy was initiated for postoperative treatment of the shoulder as well as treatment of the brachial plexus palsy. Therapy consisted of static splinting for healing structures and sensory reeducation through massage, finding objects with the eyes occluded, and fluidotherapy. Additionally, various exercises and modalities for improving motion and strength were initiated, including proprioceptive neuromuscular reeducation, passive/active assist/active exercises, dynamic splinting, muscle stimulation, kinesio tape, functional activities, and tendon glides. After five months, active range of motion in the shoulder, elbow, and wrist was finally achieved and median nerve sensation had improved. After nine months, elbow motion was within normal limits and wrist motion had significantly improved. Upon muscle testing, the elbow, forearm, wrist, and hand had made significant gains in strength. However, shoulder strength and motion was still limited. Overall, treatment made a significant improvement in the patient’s functionality.

ContributorsMorlock, Callista (Author) / Ramos, Christopher (Thesis director) / Thomas, Karen (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Within the pediatric hospitalization experience, fear and anxiety are two emotions commonly felt by children of all ages. Hospitalized children can greatly benefit from interventions designed to help them cope with these emotions throughout their medical experiences. This study draws on each of our clinical experiences as volunteers at Phoenix

Within the pediatric hospitalization experience, fear and anxiety are two emotions commonly felt by children of all ages. Hospitalized children can greatly benefit from interventions designed to help them cope with these emotions throughout their medical experiences. This study draws on each of our clinical experiences as volunteers at Phoenix Children’s Hospital, and uses a qualitative analysis of three semi-structured interviews with currently employed Child Life Specialists to understand and analyze the use of medical play, a form of play intervention with a medical theme or medical equipment. We explore the goals and benefits of medical play for hospitalized pediatric patients, the process of using medical play as an intervention, including the activity design process, the assessments and adjustments made throughout the child’s hospitalization, and the considerations and limitations to implementing medical play activities. Ultimately, we found that the element of fun that defines play can be channeled into medical play activities implemented by skilled Child Life Specialists, who are experts in their field, in clinical settings to promote several different and beneficial goals, including pediatric patient coping.

ContributorsGarciapena, Danae (Co-author) / Aguiar, Lara (Co-author) / Loebenberg, Abby (Thesis director) / Swanson, Jodi (Committee member) / College of Health Solutions (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Background: The purpose of this study was to assess the efficacy of a lifestyle intervention on cardiorespiratory fitness in Latino youth with obesity and prediabetes. <br/>Methods: Participants (n=50) in this study were taken from a larger randomized controlled trial (n=180, BMI ≥ 95th percentile). Youth participated in a 6-month lifestyle

Background: The purpose of this study was to assess the efficacy of a lifestyle intervention on cardiorespiratory fitness in Latino youth with obesity and prediabetes. <br/>Methods: Participants (n=50) in this study were taken from a larger randomized controlled trial (n=180, BMI ≥ 95th percentile). Youth participated in a 6-month lifestyle intervention that included physical activity (60 minutes, 3x/week) and nutrition and wellness classes (60 minutes, 1x/week) delivered to families at the Lincoln Family YMCA in Downtown Phoenix. The primary outcome was cardiorespiratory fitness measured at baseline and post-intervention.<br/>Results: The mean BMI for the sample was 33.17 ± 4.54 kg/m2, which put the participants in the 98.4th percentile. At baseline, the mean VO2max was 2737.02 ± 488.89 mL/min. The mean relative VO2max was 30.65 ± 3.87 mL/kg/min. VO2max values significantly increased from baseline to post-intervention (2737.022 ± 483.977 mL/min vs 2932.654 ± 96.062 mL/min, p<0.001). <br/>Conclusion: Culturally-grounded, family-focused lifestyle interventions are a promising approach for improving cardiorespiratory fitness in high-risk youth at risk for diabetes.

ContributorsEstrada, Lourdes Alexa (Author) / Shaibi, Gabriel (Thesis director) / Peña, Armando (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The following paper explores the various effects of stress on the endocrine system. Many understand that being stressed can jeopardize maintaining adequate health, but what specifically happens when humans are stressed? Why does stress affect human health? This paper delves into background information, previous research, and the depths to which

The following paper explores the various effects of stress on the endocrine system. Many understand that being stressed can jeopardize maintaining adequate health, but what specifically happens when humans are stressed? Why does stress affect human health? This paper delves into background information, previous research, and the depths to which stress negatively affects the body. The effects stress has on the endocrine system, specifically on the hypothalamic-pituitary-thyroid axis (HPT) and hypothalamic-pituitary-adrenal axis (HPA), is discussed, and additionally, at home de-stressing methods are researched. The study included a set of participants at Arizona State University. The method took place over the course of 2 weeks: one normal week, and the other with the implementation of a de-stressing method. The normal week involved the participants living their daily lives with the addition of a stress-measuring survey, while the second week involved implementing a de-stressing method and stress-measuring survey. The purpose of this study was to discover if there was a correlation between performing these relaxation activities and decreasing stress levels in ASU students. The results found that students reported they felt more relaxed and calm after the activities. Overall, this thesis provides information and first hand research on the effects of stress and stress-reducing activities and discusses the importance of maintaining lower stress levels throughout everyday life.

ContributorsWeissmann, Megan Diane (Co-author) / Gebara, Nayla (Co-author) / Don, Rachael (Thesis director) / Irving, Andrea (Committee member) / Kizer, Elizabeth (Committee member) / College of Health Solutions (Contributor) / Edson College of Nursing and Health Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

The purpose of this Barrett Thesis Project is to review the existing literature on ACL injuries specifically regarding their risk factors, prevention, and recovery options. The content of the review has been placed into four sections: physiological factors, biomechanical factors, surgery and recovery factors, as well as training factors.

The purpose of this Barrett Thesis Project is to review the existing literature on ACL injuries specifically regarding their risk factors, prevention, and recovery options. The content of the review has been placed into four sections: physiological factors, biomechanical factors, surgery and recovery factors, as well as training factors. Physiological factors look at static structures and their impact on ACL injuries, more specifically, the role that variations on physical structure values can have on injury incidence. Biomechanical factors focus on the ways that movement can contribute to injury and the ways that incorrect movement or unanticipated movement can have on the structures of the knee. Surgery and recovery factors look at surgical techniques that have been used to correct ACL injuries and the details of their function as well as certain surgical techniques that have differing rates of success and how they can impact re-injury and rehabilitation rates. Finally, training factors analyze techniques that can be used in both pre-injury or post-injury situations therefore, this section looks at the ways that training can minimize re-injury as well as work towards preventing the initial injury. Overall, this research review looks at how these factors come together to contribute to an ACL injury and the ways that injury incidence can be minimized. Risk factors come together in order to create an undesirable situation in which the ACL ligament ruptures. These risk factors are either physiological or biomechanical in nature. As a result of injury, certain surgical techniques can be used that impact the success of a patient. Evidence for the benefit of training factors can then be applied in order to reduce injury risk or prevent future injuries.

ContributorsIsrael, Kyle (Co-author) / Fang, Charles (Co-author) / Ramos, Christopher (Thesis director) / Larson, David (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Background: The US population faces a continual increase in obesity prevalence, raising health concerns due to associated comorbidities ranked as leading causes of preventable, premature death world-wide. Scientists have found a link between obesity-associated conditions and oxidative stress (OS). To date, renewed interest in the effectiveness of dietary regimens in

Background: The US population faces a continual increase in obesity prevalence, raising health concerns due to associated comorbidities ranked as leading causes of preventable, premature death world-wide. Scientists have found a link between obesity-associated conditions and oxidative stress (OS). To date, renewed interest in the effectiveness of dietary regimens in decreasing body weight is a popular research topic. Intermittent fasting (IF) is a popular and promising weight management strategy. To date, there have been no systematic reviews examining whether IF can reduce oxidative stress in overweight/obese adults. <br/><br/>Objective: Conduct a systematic review to evaluate the effects of intermittent fasting (IF) regimens on circulating markers of oxidative stress in overweight/obese adults compared to continuous calorie restriction (CR). <br/><br/>Methods: Databases PubMed, SCOPUS, ProQuest, and Cochrane were searched on February 21, 2021 for eligible articles limiting selection to those in the English language. Predefined search terms and restrictions were applied by two of the authors conducting the search. References from articles generated were also considered. Selected articles were limited to randomized controlled trials (RCTs) and human trials evaluating the effects of intermittent fasting (IF) dietary regimens in comparison to continuous calorie restriction (CR). Study populations considered were limited to those within the range of 18-65 years having a body mass index (BMI) of ≥25 kg/m2 and in otherwise generally good health with the absence of pre-existing acute or chronic conditions. The Academy of Nutrition and Dietetics Evidence Analysis Library Quality Rating Worksheet was used to assess the methodological quality of each of the studies and the Academy of Nutrition and Dietetics Grade Definitions and Conclusion Grading Table were used to appraise the quality of evidence.<br/><br/>Results: Six articles met eligibility criteria and were included in this review. Cumulatively 355 overweight/obese participants were assessed. Quality ratings performed by two of the authors revealed a high-quality rating for all six of the articles. One of the articles reported a significant IF associated difference in circulating 8-isoprostane concentrations and another article reported a significant decrease in circulating oxidative lipoproteins concentrations. The remaining articles showed no significant difference on OS markers following IF. <br/><br/>Conclusions: Based on the six articles included in this systematic review, IF was concluded to have limited impact on reducing circulating markers of OS in overweight/obese adults. Overall, the evidence was heterogeneous in relation to IF interventions and outcomes precluding a meta-analysis. Consequently, evidence to make dietary recommendations for reducing oxidative stress with IF interventions is insufficient at this point.

ContributorsMcevoy, Carissa Nicole (Author) / Sweazea, Karen (Thesis director) / Sears, Dorothy (Committee member) / Mohr, Alex (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

In my undergraduate honors thesis, I strive to convey my idea that dance is more than just movement, it’s one of the many artistic tools used to express emotions; which therefore has the power to storytell without words. It is my hope to create a captivating form of art that

In my undergraduate honors thesis, I strive to convey my idea that dance is more than just movement, it’s one of the many artistic tools used to express emotions; which therefore has the power to storytell without words. It is my hope to create a captivating form of art that you not only view, but can interact and interpret.

ContributorsSawant, Sarika (Author) / Roses-Thema, Cynthia (Thesis director) / Sulikowski, James (Committee member) / College of Health Solutions (Contributor) / School of Music, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05