TY - GEN
T1 - Object shape recognition from EEG signals during tactile and visual exploration
AU - Khasnobish, Anwesha
AU - Konar, Amit
AU - Tibarewala, D. N.
AU - Bhattacharyya, Saugat
AU - Janarthanan, R.
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Humans understand the world around us by visual and tactile exploration of the objects. The objective of this paper is to recognize the object-shapes from EEG signals while the subjects are exploring the same by visual and tactile means. The various object shapes are classified from electroencephalogram (EEG) signals that are stimulated by only tactile, only visual and by both means. EEG signals were acquired and analyzed from six electrodes, namely F3,F4,FC5,FC6,O1 and O2, where each pair of electrodes are located on frontal, somato-sensory and occipital region of the brain responsible for cognitive processing, tactile and visual perception. Mu-desynchronization in alpha and beta bands is used as the EEG modality for this purpose. Power spectral density (PSD) features are extracted and classified using support vector machine (SVM) classifiers in their corresponding object-shape classes. The results showed that object-shapes are best classified from EEG signals during only tactile exploration. The object shapes classified from EEG signals during only tactile exploration yielded highest mean classification accuracy of 88.34%. The average classification accuracy over all three object exploration modalities is 83.89%.
AB - Humans understand the world around us by visual and tactile exploration of the objects. The objective of this paper is to recognize the object-shapes from EEG signals while the subjects are exploring the same by visual and tactile means. The various object shapes are classified from electroencephalogram (EEG) signals that are stimulated by only tactile, only visual and by both means. EEG signals were acquired and analyzed from six electrodes, namely F3,F4,FC5,FC6,O1 and O2, where each pair of electrodes are located on frontal, somato-sensory and occipital region of the brain responsible for cognitive processing, tactile and visual perception. Mu-desynchronization in alpha and beta bands is used as the EEG modality for this purpose. Power spectral density (PSD) features are extracted and classified using support vector machine (SVM) classifiers in their corresponding object-shape classes. The results showed that object-shapes are best classified from EEG signals during only tactile exploration. The object shapes classified from EEG signals during only tactile exploration yielded highest mean classification accuracy of 88.34%. The average classification accuracy over all three object exploration modalities is 83.89%.
KW - Electroencephalogram
KW - Object-shape recognition
KW - Power spectral density
KW - Support vector machine
KW - Tactile perception
KW - Visual perception
UR - http://www.scopus.com/inward/record.url?scp=84893426286&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-45062-4_63
DO - 10.1007/978-3-642-45062-4_63
M3 - Conference contribution
AN - SCOPUS:84893426286
SN - 9783642450617
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 459
EP - 464
BT - Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Proceedings
T2 - 5th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2013
Y2 - 10 December 2013 through 14 December 2013
ER -