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Control Virtual Hand Using by Aziz Nida (14 results)
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Control of a Virtual Hand Using a Brain-Computer Interface System: Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Condition: New.
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Control of a Virtual Hand Using a Brain-Computer Interface System: Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing 2011-02-01, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
£ 39.24
£ 15.49 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Control of a Virtual Hand Using a Brain-Computer Interface System: Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 46.96
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Condition: New. pp. 104.
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Control of a Virtual Hand Using a Brain-Computer Interface System | Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Taschenbuch. Condition: Neu. Control of a Virtual Hand Using a Brain-Computer Interface System | Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF | Nida Aziz | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844304411 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Control of a Virtual Hand Using a Brain-Computer Interface System: Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 43.13
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An Asynchronous BCI was designed using non-cue based data collected from several participants in two separate sessions with different protocols. Several different features were extracted and evaluated using the DBI and the best of these, the joint time- frequency (JTF) feature, was chosen for detecting onset and classifying mental tasks. For onset detection, two different methods were employed and compared on the basis of classification performance obtained from confusion matrices, repeatability and ease of application. Different classifiers were tested for onset detection of which Linear Discriminant Analysis (LDA) classifier showed better results. The classified onset using JTF features and LDA classifier was then used to select the active period data in both sessions, which was then sent to the mental task classifier. Mental Task classification was done using Neural Networks, Support Vector Machines and LDA. The performance of the mental task classifier was also evaluated using confusion matrices. A virtual hand was developed graphically in MATLAB and was programmed to move in 6 different directions according to the classified outputs. 104 pp. Englisch.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Condition: New. Print on Demand pp. 104 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Aziz NidaThe author was born in Pakistan. She did her graduate study in Mechatronics Engineering from National University of Science and Technology(NUST), Pakistan and her Postgraduate study in Robotics from UK. Currently she is a.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Condition: New. PRINT ON DEMAND pp. 104.
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Control of a Virtual Hand Using a Brain-Computer Interface System
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An Asynchronous BCI was designed using non-cue based data collected from several participants in two separate sessions with different protocols. Several different features were extracted and evaluated using the DBI and the best of these, the joint time- frequency (JTF) feature, was chosen for detecting onset and classifying mental tasks. For onset detection, two different methods were employed and compared on the basis of classification performance obtained from confusion matrices, repeatability and ease of application. Different classifiers were tested for onset detection of which Linear Discriminant Analysis (LDA) classifier showed better results. The classified onset using JTF features and LDA classifier was then used to select the active period data in both sessions, which was then sent to the mental task classifier. Mental Task classification was done using Neural Networks, Support Vector Machines and LDA. The performance of the mental task classifier was also evaluated using confusion matrices. A virtual hand was developed graphically in MATLAB and was programmed to move in 6 different directions according to the classified outputs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
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Control of a Virtual Hand Using a Brain-Computer Interface System : Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 384430441X ISBN 13: 9783844304411
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Asynchronous BCI was designed using non-cue based data collected from several participants in two separate sessions with different protocols. Several different features were extracted and evaluated using the DBI and the best of these, the joint time- frequency (JTF) feature, was chosen for detecting onset and classifying mental tasks. For onset detection, two different methods were employed and compared on the basis of classification performance obtained from confusion matrices, repeatability and ease of application. Different classifiers were tested for onset detection of which Linear Discriminant Analysis (LDA) classifier showed better results. The classified onset using JTF features and LDA classifier was then used to select the active period data in both sessions, which was then sent to the mental task classifier. Mental Task classification was done using Neural Networks, Support Vector Machines and LDA. The performance of the mental task classifier was also evaluated using confusion matrices. A virtual hand was developed graphically in MATLAB and was programmed to move in 6 different directions according to the classified outputs.
