Pinpointing - Precise Head- and Eye-Based Target Selection for Augmented Reality
Association for Computing Machinery (ACM) via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a conference talk on innovative target selection techniques for augmented reality using head and eye movements. Delve into the comparison of speed and pointing accuracy between head-based and eye-based methods, uncovering their relative strengths and limitations. Learn about the achievable target sizes for robust selection and discover example applications, including compact menus with deep structure and a method for online correction of calibration drift. Gain insights into multimodal selection techniques that combine head motion and eye gaze, as well as refinement methods using hand gestures, hand-held controllers, and head motion. Understand the concept of SmartPupil for online calibration improvement and its potential impact on enhancing user interaction in wearable displays.
Syllabus
Intro
Overview
Motivation for Pinpointing
Refinement with hand gestures
Refinement with hand-held controllers
Refinement with head motion
Tap gesture activate
Refinement mode
SmartPupil-Online calibration improvement
Conclusion
Taught by
ACM SIGCHI