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8 Papers

An Experimental Investigation Comparing Age-Specific and Mixed-Age Models for Wearable Assisted Activity Recognition in Women

Topics: Wearable Health Informatics; Mobile Technologies for Healthcare Applications; Pervasive Health Systems and Services; Pattern Recognition and Machine Learning; Application of Health Informatics in Clinical Cases

Authors: Pratool Bharti 1 , Arup Kanti Dey 1 , Sriram Chellappan 1 and Theresa Beckie 2

Affiliations: 1 Dept. of Computer Science and Engineering, University of South Florida, Tampa, FL and U.S.A. , 2 College of Nursing, University of South Florida, Tampa, FL and U.S.A.

Digital Object Identifier: 10.5220/0007398003670374

Proceedings of HEALTHINF 2019/BIOSTEC, ISBN: 978-989-758-353-7

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In this paper, we investigate the impact of age diversity on accuracy for activity recognition among women with wrist-worn wearables. Using a sample of 10 elder women and 10 younger women, and by monitoring five activities related to cardiac care (Running, Brisk Walking, Walking, Standing and Sitting), we show that while personalized models are best, activities classification based on age specific models are definitely superior in terms of accuracy compared to classification using mixed age models. We do so by a) extracting 11 features from inertial sensing data; b) reducing dimensionality using Linear Discriminant Analysis methods; c) quantifying variance among features using Principal Component Analysis; d) clustering activities; and finally e) comparing classification accuracies of all activities for personalized, age-specific and mixed-age models. We believe that our study is unique, and potentially important for superior healthcare for women, a demographic that is largely underserved today across the world.
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Biomedical Engineering

Human-Computer Interaction

Pattern Recognition and Machine Learning

Biomedical Signal Processing

Mobile Technologies

Pervasive Health Systems and Services

Devices

Mobile Technologies for Healthcare Applications

Physiological Computing Systems

Distributed and Mobile Software Systems

Neural Rehabilitation

Software Engineering

Health Engineering and Technology Applications

Neurotechnology, Electronics and Informatics

Wearable Sensors and Systems
Health Information Systems

The Shape of an Image - A Study of Mapper on Images

Topic: Shape Representation and Matching

Authors: Alejandro Robles , Mustafa Hajij and Paul Rosen

Affiliation: University of South Florida, United States

Digital Object Identifier: 10.5220/0006574803390347

Proceedings of VISAPP 2018/VISIGRAPP, ISBN: 978-989-758-290-5

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We study the topological construction called Mapper in the context of simply connected domains, in particular on images. The Mapper construction can be considered as a generalization for contour, split, and joint trees on simply connected domains. A contour tree on an image domain assumes the height function to be a piecewise linear Morse function. This is a rather restrictive class of functions and does not allow us to explore the topology for most real world images. The Mapper construction avoids this limitation by assuming only continuity on the height function allowing this construction to robustly deal with a significantly larger set of images. We provide a customized construction for Mapper on images, give a fast algorithm to compute it, and show how to simplify the Mapper structure in this case. Finally, we provide a simple procedure that guarantees the equivalence of Mapper to contour, join, and split trees on a simply connected domain.
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Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Shape Representation and Matching

Improved Identification of Data Correlations through Correlation Coordinate Plots

Topic: Information and Scientific Visualization

Authors: Hoa Nguyen 1 and Paul Rosen 2

Affiliations: 1 University of Utah, United States , 2 University of South Florida, United States

Digital Object Identifier: 10.5220/0005717500600071

Proceedings of IVAPP 2016/VISIGRAPP, ISBN: 978-989-758-175-5

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Correlation is a powerful relationship measure used in science, engineering, and business to estimate trends and make forecasts. Visualization methods, such as scatterplots and parallel coordinates, are designed to be general, supporting many visualization tasks, including identifying correlation. However, due to their generality, they do not provide the most efficient interface, in terms of speed and accuracy. This can be problematic when a task needs to be repeated frequently. To address this shortcoming, we propose a new correlation task-specific visualization method called Correlation Coordinate Plots (CCPs). CCPs transform data into a powerful coordinate system for estimating the direction and strength of correlation. To support multiple attributes, we propose 2 additional interfaces. The first is the Snowflake Visualization, a focus+context layout for exploring all pairwise correlations. The second enhances the basic CCP by using principal component analysis to project multiple attributes. We validate CCP performance in correlation-specific tasks through an extensive user study that shows improvement in both accuracy and speed.
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Computer Vision, Visualization and Computer Graphics

General Data Visualization

Information and Scientific Visualization

Automata Theory based Approach to the Join Ordering Problem in Relational Database Systems

Topics: Decision Support Systems; Query Processing and Optimization

Authors: Miguel Rodríguez 1 , Daladier Jabba 1 , Elias Niño 1 , Carlos Ardila 1 and Yi-Cheng Tu 2

Affiliations: 1 Universidad del Norte, Colombia , 2 University of South Florida, United States

Digital Object Identifier: 10.5220/0004433802570265

Proceedings of DATA 2013, ISBN: 978-989-8565-67-9

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Collapse Button Related Ontology Subjects/Areas/Topics (12)
Artificial Intelligence

Data Engineering

Health Engineering and Technology Applications

Business Analytics

Databases and Data Security

Knowledge-Based Systems

Cardiovascular Technologies

Decision Support Systems

Query Processing and Optimization

Computing and Telecommunications in Cardiology

Decision Support Systems, Remote Data Analysis

Symbolic Systems

Evolutionary Systems Agents’ Mathematical Models

Topics: Multi-Agent Systems; Cognitive Systems; Collective Intelligence

Authors: Valentina N. Korzhova 1 , Viktor V. Ivanov 2 and Natalya V. Ivanova 3

Affiliations: 1 University of South Florida, United States , 2 Member Emeritus of AMS, United States , 3 Dental Care Allience, United States

Digital Object Identifier: 10.5220/0004219904410444

Proceedings of ICAART 2013, ISBN: 978-989-8565-39-6

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General mathematical theory of evolutionary system developed earlier is implemented to various problems of artificial intelligence and intelligent agent mathematical modeling. Examples of application of this general theory to the evolutionary systems such as economics, education, and health care are also considered.
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Agents

Computational Intelligence

Knowledge-Based Systems

Artificial Intelligence

Distributed and Mobile Software Systems

Multi-Agent Systems

Artificial Intelligence and Decision Support Systems

Enterprise Information Systems

Soft Computing

Cognitive Systems

Evolutionary Computing

Software Engineering

Collective Intelligence

Knowledge Engineering and Ontology Development

Symbolic Systems

LASER BASED TELEROBOTIC CONTROL FOR ASSISTING PERSONS WITH DISABILITIES PERFORM ACTIVITIES OF DAILY LIVING

Topics: Telerobotics and Teleoperation; Human Augmentation and Shared Control; Human-Robots Interfaces

Authors: Karan Khokar , Redwan Alqasemi and Rajiv Dubey

Affiliation: University of South Florida, United States

Digital Object Identifier: 10.5220/0003004804460449

Proceedings of ICINCO 2010, ISBN: 978-989-8425-01-0

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In this paper we demonstrate an innovative use of range information from a laser sensor mounted on the end- effector of a remote robot manipulator to assist persons with disabilities carry out ADL (Activities of Daily Living) tasks in unstructured environments. Laser range data is used to determine goals, identify targets and via points to enable autonomous execution of trajectories. The human operator performs minimal teleoperation and is primarily involved in higher level decision making. We hypothesize that laser based assistance improves task performance in terms of time and accuracy and also reduces the cognitive load on the user executing the task. Tests on ten healthy human subjects in executing a remote manipulation task conform the hypothesis.
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Human Augmentation and Shared Control

Informatics in Control, Automation and Robotics

Telerobotics and Teleoperation
Human-Robots Interfaces

Robotics and Automation

DEVICE FOR SYNCHRONIZED ROTATION

Topics: Emerging Technologies; Biomechanical Devices

Authors: Shuh Jing Ying , Rufael Berhane and Rajiv Dubey

Affiliation: University of South Florida, United States

Digital Object Identifier: 10.5220/0001431903390342

Proceedings of BIODEVICES 2009/BIOSTEC, ISBN: 978-989-8111- 64-7

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This device makes two shafts rotating in synchronized angular displacement. The sensors are potentiometers. The device is designed for use in a driving simulator. The first shaft is connected to a steering wheel and controlled by a driver so this shaft is the master, the second shaft is connected to the computer software that displays the surrounding sceneries, therefore this shaft is the follower. The two shafts must be rotated in synchronized mode and accurately. Major components in this device are operational amplifiers, NAND gates, power MOFET and relays. Details in design and manufacturing are reported in this paper. This device may be used for any place that requires two shafts rotating synchronically.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Biomechanical Devices

Emerging Technologies

Wireless and Mobile Technologies

Biomedical Engineering

Telecommunications

Wireless Information Networks and Systems
Biomedical Instruments and Devices

DESIGN AND EVALUATION OF AGENT-BASED NEGOTIATION HEURISTIC FOR ONLINE NEGOTIATIONS

Topics: Web Information Agents; Agents for Internet Computing; Market-Spaces: Market Portals, Hubs, Auctions

Authors: Kaushal Chari and Manish Agrawal

Affiliation: University of South Florida, United States

Digital Object Identifier: 10.5220/0002604500920097

Proceedings of ICEIS 2004, ISBN: 972-8865-00-7

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This paper presents a negotiation heuristic for software agents that enable agents to learn about the opponent’s behavior and use market information while conducting online negotiations. The heuristic is tested in a pilot experimental study, where the performance of agents is evaluated with respect to human negotiators in a simulated electronic market. Preliminary results indicate that agents may have the potential to do better than humans in multi-issue negotiation settings.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Agents

Enterprise Information Systems

Software Agents and Internet Computing

Artificial Intelligence

Market-Spaces: Market Portals, Hubs, Auctions

Web Information Agents

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