Unimanual Pen+Touch Input Using Variations of Precision Grip Postures
Association for Computing Machinery (ACM) via YouTube
Overview
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Explore a conference talk introducing a novel pen input technique that utilizes precision grip postures for unimanual pen and touch interaction. Delve into the research behind 33 candidate postures, their effectiveness in controlled tasks, and the development of a real-time convolutional neural network recognizer for 10 selected postures. Discover application demonstrations for document annotation and vector drawing, and learn about the results of a usability study validating this innovative approach to pen-based input.
Syllabus
Introduction
Status quo
Triggering modes
Research questions
Posture design
Possible postures
Study objectives
Study design
Study metrics
Deep learning recognition
Demos
Document Annotate Demo
Semantic Relationship
Vector Illustrator
Usability Study
Results
Questions
Taught by
ACM SIGCHI