Real-time continuous gesture recognition for natural human-computer interaction

Abstract

Our real-time continuous gesture recognition system addresses problems that have previously been neglected: handling both gestures that are characterized by distinct paths and gestures characterized by distinct hand poses; and determining how and when the system should respond to gestures. Our probabilistic recognition framework based on hidden Markov… (More)
DOI: 10.1109/VLHCC.2014.6883032

Topics

12 Figures and Tables

Statistics

020406080201520162017
Citations per Year

Citation Velocity: 17

Averaging 17 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics