The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform
Ifeoma Nwogu - One of the best experts on this subject based on the ideXlab platform.
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BTAS - Novel Biometrics: Analysis of an Unattended Health Monitoring System
2018 IEEE 9th International Conference on Biometrics Theory Applications and Systems (BTAS), 2018Co-Authors: Nicholas J Conn, David A. Borkholder, Ifeoma NwoguAbstract:In-home monitoring technologies have the potential to transform the healthcare system. With the increasing number and variety of connected devices that can be accessed by multiple users, the need for seamless authentication and identification mechanisms is greater now than ever. Seamless, non-interruptive mechanisms are required to personalize these devices and non-intrusive biometric technologies are gaining popularity as an answer to this automated personalization challenge. In this work, we evaluate the biometric efficacies of a fully integrated toilet (FIT) seat, designed for monitoring a subjects cardiac health parameters such as electrocardiogram (ECG), ballistocardiogram (BCG) and weight measures, all in the home without any change in daily habits. We assess the system on data obtained from 22 healthy subjects with measurements taken over an 8-week period, in order to obtain the optimal combination of features, classifiers and Enrollment Record size. We found the multi-class SVM classifier along with all features extracted from the raw measurements to be the best performing combination. This combination produced an area under curve (AUC) value of 0.86. When tested for its person identification performance, we obtained an average accuracy of 75%. We have therefore demonstrated that the biometric capacities of the FIT seat shows a strong potential for deployment in real-life, multi-user, in-home settings.
Nicholas J Conn - One of the best experts on this subject based on the ideXlab platform.
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BTAS - Novel Biometrics: Analysis of an Unattended Health Monitoring System
2018 IEEE 9th International Conference on Biometrics Theory Applications and Systems (BTAS), 2018Co-Authors: Nicholas J Conn, David A. Borkholder, Ifeoma NwoguAbstract:In-home monitoring technologies have the potential to transform the healthcare system. With the increasing number and variety of connected devices that can be accessed by multiple users, the need for seamless authentication and identification mechanisms is greater now than ever. Seamless, non-interruptive mechanisms are required to personalize these devices and non-intrusive biometric technologies are gaining popularity as an answer to this automated personalization challenge. In this work, we evaluate the biometric efficacies of a fully integrated toilet (FIT) seat, designed for monitoring a subjects cardiac health parameters such as electrocardiogram (ECG), ballistocardiogram (BCG) and weight measures, all in the home without any change in daily habits. We assess the system on data obtained from 22 healthy subjects with measurements taken over an 8-week period, in order to obtain the optimal combination of features, classifiers and Enrollment Record size. We found the multi-class SVM classifier along with all features extracted from the raw measurements to be the best performing combination. This combination produced an area under curve (AUC) value of 0.86. When tested for its person identification performance, we obtained an average accuracy of 75%. We have therefore demonstrated that the biometric capacities of the FIT seat shows a strong potential for deployment in real-life, multi-user, in-home settings.
Jason Hollowell - One of the best experts on this subject based on the ideXlab platform.
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moodle as a curriculum and information management system beginner s guide use moodle to manage and organize your administrative duties monitor attendance Records manage student Enrollment Record exam results and much more
2011Co-Authors: Jason HollowellAbstract:This book is a beginner's guide in which the reader is led, step-by-step, to accomplish all the tasks right from installing Moodle to transforming into a CMS. Some more advanced steps and concepts are presented but always in a manner that allows beginners to follow along and learn through experience as they experiment on their own test site. By the time you finish the book, you will have your own fully-functional curriculum and information management system. If you are a teacher or head of department in an institution and are interested in how Moodle can be used to streamline curriculum delivery and information flow in your institution, this book is for you. This book is also useful for Moodle administrators. Prior experience with Moodle is not essential for this book.
David A. Borkholder - One of the best experts on this subject based on the ideXlab platform.
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BTAS - Novel Biometrics: Analysis of an Unattended Health Monitoring System
2018 IEEE 9th International Conference on Biometrics Theory Applications and Systems (BTAS), 2018Co-Authors: Nicholas J Conn, David A. Borkholder, Ifeoma NwoguAbstract:In-home monitoring technologies have the potential to transform the healthcare system. With the increasing number and variety of connected devices that can be accessed by multiple users, the need for seamless authentication and identification mechanisms is greater now than ever. Seamless, non-interruptive mechanisms are required to personalize these devices and non-intrusive biometric technologies are gaining popularity as an answer to this automated personalization challenge. In this work, we evaluate the biometric efficacies of a fully integrated toilet (FIT) seat, designed for monitoring a subjects cardiac health parameters such as electrocardiogram (ECG), ballistocardiogram (BCG) and weight measures, all in the home without any change in daily habits. We assess the system on data obtained from 22 healthy subjects with measurements taken over an 8-week period, in order to obtain the optimal combination of features, classifiers and Enrollment Record size. We found the multi-class SVM classifier along with all features extracted from the raw measurements to be the best performing combination. This combination produced an area under curve (AUC) value of 0.86. When tested for its person identification performance, we obtained an average accuracy of 75%. We have therefore demonstrated that the biometric capacities of the FIT seat shows a strong potential for deployment in real-life, multi-user, in-home settings.
Tossapon Boongoen - One of the best experts on this subject based on the ideXlab platform.
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Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings
International Journal of Machine Learning and Cybernetics, 2017Co-Authors: Natthakan Iam-on, Tossapon BoongoenAbstract:Increasing student retention has been a common goal of many academic institutions, especially in the university level. The negative effects of student attrition are evident to students, parents, university and the society as a whole. The first-year students are at the greatest risk of dropping out or not completing their degree on time. With this insight, a number of data mining methods have been developed for early detection of students at risk of dropout, hence the immediate application of assistive measure. As compared to western countries, this subject has attracted only a few studies in Thai university, with educational data mining being limited to the use of conventional classification models. This paper presents the most recent investigation of student dropout at Mae Fah Luang University, Thailand, and the novel reuse of link-based cluster ensemble as a data transformation framework for more accurate prediction. The empirical study on mixed-type data collection related to students’ demographic detail, academic performance and Enrollment Record, suggests that the proposed approach is usually more effective than several benchmark transformation techniques, across different classifiers.