Activity recognition from smartphone sensing data: In Android environment
Alexandre Lopes/ João Moreira/ Joao Gama
ISBN 10: 3659296171 ISBN 13: 9783659296178
Published by LAP LAMBERT Academic Publishing, 2012
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84 pages. 8.66x0.19x5.91 inches. In Stock. Seller Inventory # 3659296171
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Recognizing human activities with sensors next to the body has become more important over the years, aiming to create or improve systems in elder care support, health/fitness monitoring, and assisting those with cognitive disorders. This task of recognizing activities taking place at a certain moment when considering only one individual user is called Activity Recognition. With smartphones, it was possible to overcome the barrier of the person having to use multiple body worn sensors. Having the smartphones a triaxial accelerometer built in it is possible to create applications that are capable of recognizing the activities of the user with great accuracy. This thesis aims to meet this new solution, creating an Android application, for the problem of recognizing the activities performed by the user and treating it as a classification problem. This work should be useful for anyone who studies the human body and should help to improve the user experience with is phone.
About the Author: Alexandre de Oliveira Lopes, Master: Studied Informatics and Computing Engineering at Faculdade de Engenharia Universidade do Porto (FEUP). Currently (2012), working at Itim Profimetrics.
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Title: Activity recognition from smartphone sensing...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2012
Binding: Paperback
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Activity recognition from smartphone sensing data
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ISBN 10: 3659296171
ISBN 13: 9783659296178
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lopes AlexandreAlexandre de Oliveira Lopes, Master: Studied Informatics and Computing Engineering at Faculdade de Engenharia Universidade do Porto (FEUP). Currently (2012), working at Itim Profimetrics.Recognizing human activitie. Seller Inventory # 519627328
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Activity recognition from smartphone sensing data | In Android environment
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659296171
ISBN 13: 9783659296178
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Taschenbuch. Condition: Neu. Activity recognition from smartphone sensing data | In Android environment | Alexandre Lopes (u. a.) | Taschenbuch | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659296178 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120714277
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Activity recognition from smartphone sensing data
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LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659296171
ISBN 13: 9783659296178
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Recognizing human activities with sensors next to the body has become more important over the years, aiming to create or improve systems in elder care support, health/fitness monitoring, and assisting those with cognitive disorders. This task of recognizing activities taking place at a certain moment when considering only one individual user is called Activity Recognition. With smartphones, it was possible to overcome the barrier of the person having to use multiple body worn sensors. Having the smartphones a triaxial accelerometer built in it is possible to create applications that are capable of recognizing the activities of the user with great accuracy. This thesis aims to meet this new solution, creating an Android application, for the problem of recognizing the activities performed by the user and treating it as a classification problem. This work should be useful for anyone who studies the human body and should help to improve the user experience with is phone.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9783659296178
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Activity recognition from smartphone sensing data : In Android environment
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659296171
ISBN 13: 9783659296178
New
Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recognizing human activities with sensors next to the body has become more important over the years, aiming to create or improve systems in elder care support, health/fitness monitoring, and assisting those with cognitive disorders. This task of recognizing activities taking place at a certain moment when considering only one individual user is called Activity Recognition. With smartphones, it was possible to overcome the barrier of the person having to use multiple body worn sensors. Having the smartphones a triaxial accelerometer built in it is possible to create applications that are capable of recognizing the activities of the user with great accuracy. This thesis aims to meet this new solution, creating an Android application, for the problem of recognizing the activities performed by the user and treating it as a classification problem. This work should be useful for anyone who studies the human body and should help to improve the user experience with is phone. Seller Inventory # 9783659296178
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Activity recognition from smartphone sensing data
Published by
LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659296171
ISBN 13: 9783659296178
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recognizing human activities with sensors next to the body has become more important over the years, aiming to create or improve systems in elder care support, health/fitness monitoring, and assisting those with cognitive disorders. This task of recognizing activities taking place at a certain moment when considering only one individual user is called Activity Recognition. With smartphones, it was possible to overcome the barrier of the person having to use multiple body worn sensors. Having the smartphones a triaxial accelerometer built in it is possible to create applications that are capable of recognizing the activities of the user with great accuracy. This thesis aims to meet this new solution, creating an Android application, for the problem of recognizing the activities performed by the user and treating it as a classification problem. This work should be useful for anyone who studies the human body and should help to improve the user experience with is phone. 84 pp. Englisch. Seller Inventory # 9783659296178