Gesture-Based Control of Spaces and Objects in Augmented

Abstract

A multi-modal system integrating computer vision and speech recognition to enable interaction with virtual spaces/objects by natural gestures and speech is described. Computer vision algorithms are employed to measure and interpret hand/finger movement of the user. Our research focuses on detection, tracking, recognition and visual feedback of the hand and finger movements in a cooperative user environment and the integration of gesture and speech recognition for man/machine communication.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2002
Accession Number
ADA408623

Entities

People

  • Larry Davis
  • Yaser Yacoob

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Augmented Reality
  • Automated Speech Recognition
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Vision
  • Computers
  • Coordinate Systems
  • Detection
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Identification
  • Image Processing
  • Markov Models
  • Models
  • Recognition
  • Video Cameras

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Vision.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers