Continuous body and hand gesture recognition for natural human-computer interaction
Abstract
Intelligent gesture recognition systems open a new era of natural human-computer interaction: Gesturing is instinctive and a skill we all have, so it requires little or no thought, leaving the focus on the task itself, as it should be, not on the interaction modality. We present a new approach to gesture recognition that attends to both body and hands, and interprets gestures continuously from an unsegmented and unbounded input stream. This article describes the whole procedure of continuous body and hand gesture recognition, from the signal acquisition to processing, to the interpretation of the processed signals.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 01, 2012
- Source ID
- 10.1145/2133366.2133371
Entities
People
- David Demirdjian
- Randall Davis
- Yale Song
Organizations
- Division of Information and Intelligent Systems
- Massachusetts Institute of Technology
- Office of Naval Research