Towards Object Prediction based on Hand Postures for Reach to Grasp Interaction

Florian Daiber, Dimitar Valkov, Frank Steinicke, Klaus H. Hinrichs, Antonio Krüger
Proceedings of the ACM CHI Workshop on The 3rd Dimension of CHI: Touching and Designing 3D User Interfaces (3DCHI), page 99--106 - 2012
Download the publication : Grasp3DCHI-CameraReady.pdf [1Mo]  
Recently, traditional multi-touch surfaces are extended by stereoscopic displays and 3D tracking technology. While reaching and pointing tasks have a long tradition in human-computer interaction (HCI), the hand pre-shaping which usually accompanies them has rarely been considered. The Reach to Grasp task has been widely investigated by many neuropsychological and robotic research groups over the last few decades. We believe that subtle grasping hand postures in combination with stereoscopic multi-touch displays have the potential to improve multi-touch 3D user interfaces. We present a study that aims to identify if the intended object can be predicted in advance, relying only on detection of the hand posture.

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BibTex references

@InProceedings\{DVSHK12,
  author       = "Daiber, Florian and Valkov, Dimitar and Steinicke, Frank and Hinrichs, Klaus H. and Krüger, Antonio",
  title        = "Towards Object Prediction based on Hand Postures for Reach to Grasp Interaction",
  booktitle    = "Proceedings of the ACM CHI Workshop on The 3rd Dimension of CHI: Touching and Designing 3D User Interfaces (3DCHI)",
  pages        = "99--106",
  year         = "2012",
  publisher    = "ACM Press",
  url          = "http://basilic.informatik.uni-hamburg.de/Publications/2012/DVSHK12"
}

Other publications in the database

» Florian Daiber
» Dimitar Valkov
» Frank Steinicke
» Klaus H. Hinrichs
» Antonio Krüger