Activity recognition from smartphone sensing data: In Android environment
Alexandre Lopes/ João Moreira/ Joao Gama
ISBN 10: 3659296171 ISBN 13: 9783659296178
Edité par LAP LAMBERT Academic Publishing, 2012
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84 pages. 8.66x0.19x5.91 inches. In Stock. N° de réf. du vendeur 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.
Présentation de l'éditeur: 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.
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Titre : Activity recognition from smartphone sensing...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2012
Reliure : Paperback
Etat : Brand New
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Activity recognition from smartphone sensing data
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LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659296171
ISBN 13 : 9783659296178
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Etat : 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. N° de réf. du vendeur 519627328
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Activity recognition from smartphone sensing data | In Android environment
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659296171
ISBN 13 : 9783659296178
Neuf
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Taschenbuch. Etat : 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. N° de réf. du vendeur 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. Etat : 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. N° de réf. du vendeur 9783659296178
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Activity recognition from smartphone sensing data : In Android environment
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659296171
ISBN 13 : 9783659296178
Neuf
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659296178
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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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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659296178
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