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 language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Workshop on Robot and Human Interactive Communication |
| Pages | 276-281 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 - Viareggio, Italy Duration: 2010 Sep 12 → 2010 Sep 15 |
Other
| Other | 19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010 |
|---|---|
| Country | Italy |
| City | Viareggio |
| Period | 10/9/12 → 10/9/15 |
Fingerprint
ASJC Scopus subject areas
- Software
- Artificial Intelligence
- Human-Computer Interaction
Cite this
A method of obtaining sense of touch by using EEG. / Nakamura, Tsukasa; Tomita, Yohei; Ito, Shin Ichi; Mitsukura, Yasue.
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2010. p. 276-281 5598636.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A method of obtaining sense of touch by using EEG
AU - Nakamura, Tsukasa
AU - Tomita, Yohei
AU - Ito, Shin Ichi
AU - Mitsukura, Yasue
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649853029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649853029&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2010.5598636
DO - 10.1109/ROMAN.2010.5598636
M3 - Conference contribution
AN - SCOPUS:78649853029
SN - 9781424479917
SP - 276
EP - 281
BT - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
ER -