Abstract
Most of the spiders can hunt a prey and avoid the threat of predators by sensing web vibration. Spiders have eight legs, and it has the sense organs to detect vibrations. These vibration sensing organs can be observed at the slit sensilla on each leg. A distribution of the web string tension effectivelytransfer the vibration of a spider web into another place. In order to investigate the characteristics of the spider web, we test various sensors in the artificial web. We apply a population coding approach to detect the orientation of the web vibration source. We demonstrate the result in the vibration experiments.
| Original language | English |
|---|---|
| Title of host publication | From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings |
| Publisher | Springer Verlag |
| Pages | 43-52 |
| Number of pages | 10 |
| ISBN (Print) | 9783319088631 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 13th International Conference on the Simulation of Adaptive Behavior, SAB 2014 - Castellon, Spain Duration: 2014 Jul 22 → 2014 Jul 25 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8575 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 13th International Conference on the Simulation of Adaptive Behavior, SAB 2014 |
|---|---|
| Country | Spain |
| City | Castellon |
| Period | 14/7/22 → 14/7/25 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Detecting the vibration in the artificial web inspired by the spider. / Jeong, Eunseok; Kim, Daeeun.
From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings. Springer Verlag, 2014. p. 43-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8575 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Detecting the vibration in the artificial web inspired by the spider
AU - Jeong, Eunseok
AU - Kim, Daeeun
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Most of the spiders can hunt a prey and avoid the threat of predators by sensing web vibration. Spiders have eight legs, and it has the sense organs to detect vibrations. These vibration sensing organs can be observed at the slit sensilla on each leg. A distribution of the web string tension effectivelytransfer the vibration of a spider web into another place. In order to investigate the characteristics of the spider web, we test various sensors in the artificial web. We apply a population coding approach to detect the orientation of the web vibration source. We demonstrate the result in the vibration experiments.
AB - Most of the spiders can hunt a prey and avoid the threat of predators by sensing web vibration. Spiders have eight legs, and it has the sense organs to detect vibrations. These vibration sensing organs can be observed at the slit sensilla on each leg. A distribution of the web string tension effectivelytransfer the vibration of a spider web into another place. In order to investigate the characteristics of the spider web, we test various sensors in the artificial web. We apply a population coding approach to detect the orientation of the web vibration source. We demonstrate the result in the vibration experiments.
UR - http://www.scopus.com/inward/record.url?scp=84958521414&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958521414&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-08864-8_5
DO - 10.1007/978-3-319-08864-8_5
M3 - Conference contribution
AN - SCOPUS:84958521414
SN - 9783319088631
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 43
EP - 52
BT - From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings
PB - Springer Verlag
ER -