A method of obtaining sense of touch by using EEG

Tsukasa Nakamura, Yohei Tomita, Shin Ichi Ito, Yasue Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
Pages276-281
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 13
Externally publishedYes
Event19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy
Duration: 2010 Sep 122010 Sep 15

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
CountryItaly
CityViareggio
Period10/9/1210/9/15

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Nakamura, T., Tomita, Y., Ito, S. I., & Mitsukura, Y. (2010). A method of obtaining sense of touch by using EEG. In 19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010 (pp. 276-281). [5598636] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2010.5598636