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Implementation of a 3D Hand Pose Estimation System

Lack, John-Certus (2014) Implementation of a 3D Hand Pose Estimation System. DLR-Interner Bericht. DLR-IB 572-2014-22. Bachelorarbeit. Technical University Munich.

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Kurzfassung

The variety of means for human-computer interaction has experienced a surge in recent years and currently covers several methods for haptic communication and voice control. These technologies have proven to be a vital tool for information exchange and are already a fundamental part of daily human interaction. However, they are mainly restricted to a two dimensional input and the interpretation of formulated commands. To overcome these limitations, several approaches of 3D hand pose detection systems were made that often imply computation intensive models or large databases with synthetic training sets. Therefore, this thesis presents a 3D hand pose estimation system that provides real-time processing at low computational cost. The first parts describes methods for the hand-background segmentation and the tracking of specific feature points, which include the center of the palm and the fingertips. In the second part, a novel approach is proposed for inferring the position of finger base joints and numbering the correlated fingertip-joint clusters. This method clearly distinguishes from other approaches, as it deduces the joint location from the relative configuration of finger clusters to the center of the palm, omitting the need for complex models or databases. Finally, all obtained information is combined to calculate the angles at each joint and to drive a 3D simulation model, which illustrates the imitated user hand pose. Results presented in the evaluation show that this approach is well suited for hand pose estimation, as it achieves high accuracy in detection and additionally enables real-time interaction. Precision and stability can further be improved by upgrading the utilized camera to a system with higher resolution. This modification also allows considering multiple feature points for a more differentiated angle calculation. Overall, the user feedback was very positive and all test participants mentioned an incline of their success rate over time.

elib-URL des Eintrags:https://elib.dlr.de/90447/
Dokumentart:Berichtsreihe (DLR-Interner Bericht, Bachelorarbeit)
Titel:Implementation of a 3D Hand Pose Estimation System
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Lack, John-Certusjohn-certus.lack (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:1 September 2014
Referierte Publikation:Nein
Open Access:Ja
Status:veröffentlicht
Stichwörter:Hand Pose, Estimation, 3D Detection, Gesture Control, Human Robot Interaction, Hand Tracking
Institution:Technical University Munich
Abteilung:Chair of Media Technology
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Robotische Assistenzsysteme (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Robotik und Mechatronik (ab 2013) > Perzeption und Kognition
Hinterlegt von: Lack, John-Certus
Hinterlegt am:26 Sep 2014 18:48
Letzte Änderung:31 Jul 2019 19:47

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