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Author Liu, A.L. ♦ Jun Yang ♦ Boda, P.P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Accelerometers ♦ Computer vision ♦ Geographic Information Systems ♦ Web pages ♦ Predictive models ♦ Permission ♦ Entropy ♦ Iterative algorithms ♦ Natural language processing ♦ Mobile computing
Abstract In this work, we present a gesture recognition system via continuous MaxEnt training on accelerometer data. We are working on embedding feature selection into MaxEnt model training to more intelligently narrow the feature set. We are also working to simplify the modeling process so developers can more easily build sensor-based applications. Finally, we are exploring the use of MaxEnt to model higher-level activities.
Description Author affiliation: Nokia Research Center, Palo Alto, CA 94304, USA (Jun Yang; Boda, P.P.) || University of Washington, Seattle, 98195-2350, Box 352350, USA (Liu, A.L.)
ISBN 9781424451081
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-04-13
Publisher Place USA
Rights Holder Association for Computing Machinery, Inc. (ACM)
Size (in Bytes) 148.85 kB
Page Count 2
Starting Page 371
Ending Page 372


Source: IEEE Xplore Digital Library