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Implementation of a 3D Hand Pose Estimation System

Lack, John-Certus (2014) Implementation of a 3D Hand Pose Estimation System. Bachelor's. DLR-Interner Bericht. DLR-IB 572-2014-22.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/90447/
Document Type:Monograph (DLR-Interner Bericht, Bachelor's)
Title:Implementation of a 3D Hand Pose Estimation System
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lack, John-Certusjohn-certus.lack (at) dlr.deUNSPECIFIED
Date:1 September 2014
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Hand Pose, Estimation, 3D Detection, Gesture Control, Human Robot Interaction, Hand Tracking
Institution:Technical University Munich
Department:Chair of Media Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Robotische Assistenzsysteme (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Perception and Cognition
Deposited By: Lack, John-Certus
Deposited On:26 Sep 2014 18:48
Last Modified:31 Jul 2019 19:47

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