Life Sciences Commons^™

Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee

Kno.e.sis Publications

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video …

An Evaluation Of Blogging As An Educational Tool For Interprofessional Education As Part Of University Experiential Learning, Kelley Robb

Graduate Theses

Since the inception of the Internet, much of our society’s communication has become paperless and instantaneous. The speed at which information can be disseminated has not only changed the way in which we communicate with each other but it has also increased the collaboration between professions, particularly the health sciences. As society shifts to a more virtual environment, it is imperative to assess these online tools to determine whether they elevate our research, educational methods and/or work environment. The purpose of this study was to evaluate whether blogging can be used as an educational tool for interprofessional education in a …

Analyzing Clinical Depressive Symptoms In Twitter, Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

350 million people are suffering from clinical depression worldwide.

What Motivates High School Students To Take Precautions Against The Spread Of Influenza? A Data Science Approach To Latent Modeling Of Compliance With Preventative Practice, William L. Romine, Tanvi Banerjee, William R. Folk, Lloyd H. Barrow

Kno.e.sis Publications

– This study focuses on a central question: What key behavioral factors influence high school students’ compliance with preventative measures against the transmission of influenza? We use multilevel logistic regression to equate logit measures for eight precautions to students’ latent compliance levels on a common scale. Using linear regression, we explore the efficacy of knowledge of influenza, affective perceptions about influenza and its prevention, prior illness, and gender in predicting compliance. Hand washing and respiratory etiquette are the easiest precautions for students, and hand sanitizer use and keeping the hands away from the face are the most difficult. Perceptions of …

Jumpin’ Jacks: Social Marketing Campaign Aimed To Increase Awareness Of Healthful Behavior In South Dakota Fourth Grade Students, Megan N. Olesen, Kendra Kattelmann, Jessica Meendering, Suzanne Stluka

Health and Nutritional Sciences Faculty Publications

This study investigated the influence of utilizing a collegiate mascot as a marketing tool for the promotion of fruit and vegetable intake and physical activity among 4th grade students. The program utilized service learning and formative research for the development of a social marketing campaign comprised of nutrition education and brand marketing. A pre-test/post-test design was used to measure fruit and vegetable intake and physical activity in participants in intervention and control schools. Awareness and understanding of the campaign was assessed post-intervention. There were no changes in fruit and vegetable intake or physical activity. However, 91% of the intervention students …

Wet Grain Delivery Advice: A Previously Impossible Extension Challenge Solved Through App Technology, Joseph S. Dvorak, Sam Mcneill, Clint Hardy

Biosystems and Agricultural Engineering Faculty Publications

The delivery of wet grain during harvest is a complex and constantly changing problem about which Extension professionals have been unable to offer more than general advice. By capitalizing on important characteristics of mobile devices, a new app enables producers to fully benefit from detailed information universities have generated on grain drying and costs associated with delivery of grain to different locales. Development of such an app demonstrates the power of apps and mobile devices in allowing Extension to deliver previously unattainable services to its clientele.

Semantic, Cognitive, And Perceptual Computing: Paradigms That Shape Human Experience, Amit P. Sheth, Pramod Anantharam, Cory Henson

Kno.e.sis Publications

Unlike machine-centric computing, in which efficient data processing takes precedence over contextual tailoring, human-centric computation provides a personalized data interpretation that most users find highly relevant to their needs. The authors show how semantic, cognitive, and perceptual computing paradigms work together to produce actionable information.

Exploring The Use Of An Iphone App: A Novel Approach To Dietary Assessment, Melissa Keeney, Ming-Chin Yeh, Rissa Landman, May May Leung, Ann Gaba, Khursheed Navder

Publications and Research

Recent advancements in smartphone technology have provided new methods of dietary assessment. An iTunes application (app) called Meal Snap lets users take pictures of the meal they eat, and then estimates the calories of the food items eaten. We conducted a pilot study to explore the user-friendliness and calorie estimation functions of the Meal Snap app. Two female nutrition graduate students pilot-tested the Meal Snap app. Using the app, each student took pictures of foods and drinks consumed daily for two weeks. The data were analyzed using the Nutritionist ProTM software, version 4.4.0. The mean daily caloric intake obtained from …

Building The Web Of Knowledge With Smart Iot Applications, Amelie Gyrard, Pankesh Patel, Amit P. Sheth, Martin Serrano

Kno.e.sis Publications

The Internet of Things (IoT) is experiencing fast adoption because of its positive impact to change all aspects of our lives, from agriculture in rural areas, to health and wellness, to smart home and smart-x applications in cities. The development of IoT applications and deployment of smart IoT-based solutions is just starting; smart IoT applications will modify our physical world and our interaction with cyber spaces, from how we remotely control appliances at home to how we care for patients or elderly persons. The massive deployment of IoT devices represents a tremendous economic impact and at the same time offers …

A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, Raminta Daniulaityte, Amit P. Sheth

Kno.e.sis Publications

The Specific Aims of this application are to use a paradigmatic approach that combines Semantic Web technology, Natural Language Processing and Machine Learning techniques to:

1) Describe drug users’ knowledge, attitudes, and behaviors related to the non-medical use of Suboxone and Subutex as discussed on Web-based forums.
2) Identify and describe temporal patterns of non-medical use of Suboxone and Subutex as discussed on Web-based forums.

The research was carried out by an interdisciplinary team of members of the Center for Interventions, Treatment and Addictions Research (CITAR) and the Ohio Center of Excellence in Knowledge- enabled Computing (Kno.e.sis) at Wright State …

Co-Evolution Of Rdf Datasets, Sidra Faisal, Kemele M. Endris, Saeedeh Shekarpour, Sören Auer, Maria-Esther Vidal

Kno.e.sis Publications

Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, …