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Data Mining Approach to HAR
Data mining is a process of identifying valid information from the large databases. There are many different tasks in data mining such as classification, clustering, prediction, time series analysis, sequence pattern mining, etc.Activityrecognition aims to identify the actions and goals of one or more agents from a series of observations on the agent's actions and the environmental conditions. The activity recognition, having considerably matured, so has the number of challenges in designing, implementing, and evaluating activity recognition systems in exiting methodologies. The proposed research focuses on activity recognition using sensors dataset. The proposed research challenges that Human Activity Recognition shares with general pattern recognition and identify those challenges that are specific to Human Activity Recognition.
The Human Activity Recognition (HAR) refers to the task of measuring the physical activity of a person via the use of objective technology. This task is extremely challenging owing to the complexity and diversity of humans. The concept of an activity recognition chain as a general-purpose framework for designing and evaluating activity recognition systems. The proposed research comprises components for data acquisition and preprocessing, data segmentation, feature extraction and selection, training and classification, decision fusion, and performance evaluation. The proposed research concludes with the sensor data example problem of recognizing different hand gestures from inertial sensors attached to the upper and lower arm. The proposed research can be implemented for this specific activity recognition problem and demonstrate how different implementations compare and how they impact overall recognition performance.
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Data Mining Approach to HAR
Data mining is a process of identifying valid information from the large databases. There are many different tasks in data mining such as classification, clustering, prediction, time series analysis, sequence pattern mining, etc.Activityrecognition aims to identify the actions and goals of one or more agents from a series of observations on the agent's actions and the environmental conditions. The activity recognition, having considerably matured, so has the number of challenges in designing, implementing, and evaluating activity recognition systems in exiting methodologies. The proposed research focuses on activity recognition using sensors dataset. The proposed research challenges that Human Activity Recognition shares with general pattern recognition and identify those challenges that are specific to Human Activity Recognition.
The Human Activity Recognition (HAR) refers to the task of measuring the physical activity of a person via the use of objective technology. This task is extremely challenging owing to the complexity and diversity of humans. The concept of an activity recognition chain as a general-purpose framework for designing and evaluating activity recognition systems. The proposed research comprises components for data acquisition and preprocessing, data segmentation, feature extraction and selection, training and classification, decision fusion, and performance evaluation. The proposed research concludes with the sensor data example problem of recognizing different hand gestures from inertial sensors attached to the upper and lower arm. The proposed research can be implemented for this specific activity recognition problem and demonstrate how different implementations compare and how they impact overall recognition performance.
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Data Mining Approach to HAR

Data Mining Approach to HAR

by Christo Ananth
Data Mining Approach to HAR
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Data Mining Approach to HAR

Data Mining Approach to HAR

by Christo Ananth

Overview

Data mining is a process of identifying valid information from the large databases. There are many different tasks in data mining such as classification, clustering, prediction, time series analysis, sequence pattern mining, etc.Activityrecognition aims to identify the actions and goals of one or more agents from a series of observations on the agent's actions and the environmental conditions. The activity recognition, having considerably matured, so has the number of challenges in designing, implementing, and evaluating activity recognition systems in exiting methodologies. The proposed research focuses on activity recognition using sensors dataset. The proposed research challenges that Human Activity Recognition shares with general pattern recognition and identify those challenges that are specific to Human Activity Recognition.
The Human Activity Recognition (HAR) refers to the task of measuring the physical activity of a person via the use of objective technology. This task is extremely challenging owing to the complexity and diversity of humans. The concept of an activity recognition chain as a general-purpose framework for designing and evaluating activity recognition systems. The proposed research comprises components for data acquisition and preprocessing, data segmentation, feature extraction and selection, training and classification, decision fusion, and performance evaluation. The proposed research concludes with the sensor data example problem of recognizing different hand gestures from inertial sensors attached to the upper and lower arm. The proposed research can be implemented for this specific activity recognition problem and demonstrate how different implementations compare and how they impact overall recognition performance.

Product Details

BN ID: 2940158826092
Publisher: Nook Press Barnes & Noble
Publication date: 10/14/2017
Sold by: Barnes & Noble
Format: eBook
File size: 263 KB

About the Author

Christo Ananth got his B.E. Degree in Electronics and Communication Engineering in 2009 and his M.E. Degree in Applied Electronics in 2013. He received his PhD Degree in Engineering in 2017. Christo Ananth has almost 8 years of involvement in research, instructing, counseling and down to earth application improvement. His exploration skill covers Image Processing, Co-operative Networks, Electromagnetic Fields, Electronic Devices, Wireless Networks and Medical Electronics. He has taken an interest and presented 3 papers in National level Technical Symposiums, 9 Research papers in National Level Conferences, 31 Research Papers in International level Conferences, 54 Research Papers in refereed and indexed International Journals in the field of Embedded Systems, Networking, Digital Image Processing, Network Security and VLSI. He has attended 14 Technical Seminars/Training Courses/Faculty Development Programs. He has contributed 7 Dissertations / Thesis / Technical Reports in International Publication Houses, 15 International Book Chapters in USA and has authored & published 4 National-level Engineering Text books and authored 2 International-level Engineering text books. He has published 10 Monographs in Reputed International Journals. He is a beneficiary of Special note in 4 Engineering Text books associated to Anna University,Chennai. He has been conferred with the title - Editor-in-Chief and Associate Editor of 5 International Journals by ACE Publications and Fisheries and Aquatic Studies Organization for his extraordinary Academic Excellence in Research Community.
At present, he is a member of 133 Professional Bodies over the globe. He is a Biographical World Record Holder of Marquis' Who’s Who in the World (32nd,33rd and 34th Edition) for his exceptional commitment towards explore group from 2015-2017. He has conveyed Guest Lectures in Reputed Engineering Colleges and Reputed Industries on different themes. He has earned 4 Best Paper Awards from different instruction related social exercises in and outside India. He has organized nearly 19 self-supporting National level Technical Symposiums, Conferences and Workshops in the field of Embedded Systems, Networking, Digital Image Processing, Network Security, VLSI, Biotechnology, Management and Architecture. He is a Technical Advisory Board member of nearly 84 National Level/International Level Technical Conferences over the globe.
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