Eigengestures for Natural Human Computer Interface

  title={Eigengestures for Natural Human Computer Interface},
  author={P. Gawron and P. Głomb and Jaroslaw Adam Miszczak and Z. Puchala},
  • P. Gawron, P. Głomb, +1 author Z. Puchala
  • Published in ICMMI 2011
  • Computer Science
  • We present the application of Principal Component Analysis for data acquired during the design of a natural gesture interface. We investigate the concept of an eigengesture for motion capture hand gesture data and present the visualisation of principal components obtained in the course of conducted experiments. We also show the influence of dimensionality reduction on reconstructed gesture data quality. 
    5 Citations
    Natural hand gestures for human identification in a Human-Computer Interface
    • 2
    • PDF
    Natural human gestures classification using multisensor data
    • M. Cholewa, P. Głomb
    • Computer Science
    • 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)
    • 2015
    • 4
    Recognizing Unfamiliar Gestures for Human-Robot Interaction Through Zero-Shot Learning
    • 14
    • PDF


    Choosing and Modeling the Hand Gesture Database for a Natural User Interface
    • 25
    • PDF
    Research Challenges in Gesture: Open Issues and Unsolved Problems
    • 64
    Gesture Spotting and Recognition for Human–Robot Interaction
    • 148
    • PDF
    Multimodal human discourse: gesture and speech
    • 284
    • PDF
    Gesture and Sign Language in Human-Computer Interaction
    • 119
    • PDF
    Real-time recognition of hand alphabet gestures using principal component analysis
    • 119
    Eigenfaces for Recognition
    • 14,584
    • PDF
    Representing Animations by Principal Components
    • 345
    • PDF