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

 
9783844304411: 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
View all copies of this ISBN edition:
 
 

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.

"synopsis" may belong to another edition of this title.

About the Author:

The 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 Lecturer at NUST.

"About this title" may belong to another edition of this title.

Shipping: US$ 6.10
From United Kingdom to U.S.A.

Destination, rates & speeds

Add to Basket

Top Search Results from the AbeBooks Marketplace

Stock Image

1.

Aziz, Nida
Published by Omniscriptum Gmbh & Co. Kg. 2011-02-01 (2011)
ISBN 10: 384430441X ISBN 13: 9783844304411
New paperback Quantity Available: > 20
Seller:
Blackwell's
(Oxford, OX, United Kingdom)

Book Description Omniscriptum Gmbh & Co. Kg. 2011-02-01, 2011. paperback. Condition: New. Seller Inventory # 9783844304411

More information about this seller | Contact this seller

Buy New
US$ 44.29
Convert currency

Add to Basket

Shipping: US$ 6.10
From United Kingdom to U.S.A.
Destination, rates & speeds
Stock Image

2.

Aziz, Nida
Published by LAP Lambert Academic Publishing (2017)
ISBN 10: 384430441X ISBN 13: 9783844304411
New Paperback Quantity Available: 10
Print on Demand
Seller:
Ria Christie Collections
(Uxbridge, United Kingdom)

Book Description LAP Lambert Academic Publishing, 2017. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2017; Fast Shipping from the UK. No. book. Seller Inventory # ria9783844304411_lsuk

More information about this seller | Contact this seller

Buy New
US$ 62.28
Convert currency

Add to Basket

Shipping: US$ 3.65
From United Kingdom to U.S.A.
Destination, rates & speeds
Stock Image

3.

Aziz, Nida
Published by LAP Lambert Academic Publishing 2011-02 (2011)
ISBN 10: 384430441X ISBN 13: 9783844304411
New Quantity Available: 1
Seller:
Chiron Media
(Wallingford, United Kingdom)

Book Description LAP Lambert Academic Publishing 2011-02, 2011. PF. Condition: New. Seller Inventory # 6666-LSI-9783844304411

More information about this seller | Contact this seller

Buy New
US$ 51.59
Convert currency

Add to Basket

Shipping: US$ 17.53
From United Kingdom to U.S.A.
Destination, rates & speeds
Stock Image

4.

Nida Aziz
Published by Lap Lambert Acad. Publ. Feb 2011 (2011)
ISBN 10: 384430441X ISBN 13: 9783844304411
New Taschenbuch Quantity Available: 1
Seller:
Rheinberg-Buch
(Bergisch Gladbach, Germany)

Book Description Lap Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783844304411

More information about this seller | Contact this seller

Buy New
US$ 54.54
Convert currency

Add to Basket

Shipping: US$ 18.51
From Germany to U.S.A.
Destination, rates & speeds
Stock Image

5.

Nida Aziz
Published by Lap Lambert Acad. Publ. Feb 2011 (2011)
ISBN 10: 384430441X ISBN 13: 9783844304411
New Taschenbuch Quantity Available: 1
Seller:
BuchWeltWeit Inh. Ludwig Meier e.K.
(Bergisch Gladbach, Germany)

Book Description Lap Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783844304411

More information about this seller | Contact this seller

Buy New
US$ 54.54
Convert currency

Add to Basket

Shipping: US$ 18.51
From Germany to U.S.A.
Destination, rates & speeds
Seller Image

6.

Nida Aziz
Published by LAP Lambert Acad. Publ. Feb 2011 (2011)
ISBN 10: 384430441X ISBN 13: 9783844304411
New Taschenbuch Quantity Available: 1
Seller:
AHA-BUCH GmbH
(Einbeck, Germany)

Book Description LAP Lambert Acad. Publ. Feb 2011, 2011. Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783844304411

More information about this seller | Contact this seller

Buy New
US$ 54.54
Convert currency

Add to Basket

Shipping: US$ 37.28
From Germany to U.S.A.
Destination, rates & speeds