DocumentCode :
2527269
Title :
A method of obtaining sense of touch by using EEG
Author :
Nakamura, Tsukasa ; Tomita, Yohei ; Ito, Shin-ichi ; Mitsukura, Yasue
Author_Institution :
Grad. Sch. of Bio-Applic. & Syst. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
fYear :
2010
fDate :
13-15 Sept. 2010
Firstpage :
276
Lastpage :
281
Abstract :
In this paper, we propose a method of obtaining the sense of touch by using the EEG. Multimodal device based on human sensory systems have obtained a lot of attention in the fields of human interface. Among the human sensory systems, especially, the sense of touch is important form of social interaction and it can have powerful emotional consequences. Therefore, it is important to improve tactile sensation device technique and evaluate the device objectively. By analyzing the EEG, we attempt to make the evaluation method clear how users feel when he/she touches objects. We measure the EEG while subjects touch objects by using portable electroencephalograph. The proposed method consists of feature extraction and EEG pattern classification by using fast fourier transform(FFT) and artificial neural network(ANN). Moreover, we apply particle swarm optimization(PSO) for deciding the weight and bias of the ANN fastly.
Keywords :
electroencephalography; fast Fourier transforms; haptic interfaces; medical signal processing; neural nets; particle swarm optimisation; pattern classification; EEG pattern classification; artificial neural network; electroencephalography; fast Fourier transform; feature extraction; human interface; human sensory systems; particle swarm optimization; portable electroencephalograph; tactile sensation device technique; touch sense method; Accuracy; Artificial neural networks; Convergence; Electrodes; Electroencephalography; Humans; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
RO-MAN, 2010 IEEE
Conference_Location :
Viareggio
ISSN :
1944-9445
Print_ISBN :
978-1-4244-7991-7
Type :
conf
DOI :
10.1109/ROMAN.2010.5598636
Filename :
5598636
Link To Document :
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