Robust dataglove mapping for recording human hand postures

Steffen JF, Maycock J, Ritter H (2011)
In: International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science, 7102. Springer: 34-45.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
Campus/VPN cgcalib.pdf
Abstract / Bemerkung
We present a novel dataglove mapping technique based on parameterisable models that handle both the cross coupled sensors of the fingers and thumb, and the under-specified abduction sensors for the fingers. Our focus is on realistically reproducing the posture of the hand as a whole, rather than on accurate fingertip positions. The method proposed in this paper is a vision-free, object free, data glove mapping and calibration method that has been successfully used in robot manipulation tasks.
Stichworte
Hand postures; Robot teaching; Dataglove
Erscheinungsjahr
2011
Titel des Konferenzbandes
International Conference on Intelligent Robotics and Applications (ICIRA)
Band
7102
Seite(n)
34-45
Konferenz
ICIRA 2011
Konferenzort
Aachen, Germany
Konferenzdatum
2011-12-06
ISBN
978-3-642-25488-8
Page URI
https://pub.uni-bielefeld.de/record/2280566

Zitieren

Steffen JF, Maycock J, Ritter H. Robust dataglove mapping for recording human hand postures. In: International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science. Vol 7102. Springer; 2011: 34-45.
Steffen, J. F., Maycock, J., & Ritter, H. (2011). Robust dataglove mapping for recording human hand postures. International Conference on Intelligent Robotics and Applications (ICIRA), Lecture Notes in Computer Science, 7102, 34-45. Springer. doi:10.1007/978-3-642-25489-5_4
Steffen, J. F., Maycock, J., and Ritter, H. (2011). “Robust dataglove mapping for recording human hand postures” in International Conference on Intelligent Robotics and Applications (ICIRA) Lecture Notes in Computer Science, vol. 7102, (Springer), 34-45.
Steffen, J.F., Maycock, J., & Ritter, H., 2011. Robust dataglove mapping for recording human hand postures. In International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science. no.7102 Springer, pp. 34-45.
J.F. Steffen, J. Maycock, and H. Ritter, “Robust dataglove mapping for recording human hand postures”, International Conference on Intelligent Robotics and Applications (ICIRA), Lecture Notes in Computer Science, vol. 7102, Springer, 2011, pp.34-45.
Steffen, J.F., Maycock, J., Ritter, H.: Robust dataglove mapping for recording human hand postures. International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science. 7102, p. 34-45. Springer (2011).
Steffen, Jan Frederik, Maycock, Jonathan, and Ritter, Helge. “Robust dataglove mapping for recording human hand postures”. International Conference on Intelligent Robotics and Applications (ICIRA). Springer, 2011.Vol. 7102. Lecture Notes in Computer Science. 34-45.
Volltext(e)
Name
cgcalib.pdf
Access Level
Campus/VPN UniBi Only
Zuletzt Hochgeladen
2019-09-06T08:57:34Z
MD5 Prüfsumme
f274038d5eae16fb3db93207834826f7

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar
ISBN Suche