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Audio Based Handwriting Input for Tiny Mobile Devices
Tuo Yu
, Haiming Jin
,
Klara Nahrstedt
Coordinated Science Lab
Electrical and Computer Engineering
Information Trust Institute
National Center for Supercomputing Applications (NCSA)
Biomedical and Translational Sciences
Siebel School of Computing and Data Science
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
Overview
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Dive into the research topics of 'Audio Based Handwriting Input for Tiny Mobile Devices'. Together they form a unique fingerprint.
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Keyphrases
Mobile Devices
100%
Audio-based
100%
Handwriting Input
100%
Word Recognition
33%
Audio Signal
33%
Tracking Method
33%
Multi-feature
33%
Lab Environment
33%
Machine Learning
33%
Multipath Propagation
33%
Keyboard
33%
Signal multipath
33%
Handwriting Recognition
33%
Gesture Tracking
33%
Writing Placement
33%
Input Scheme
33%
Computer Science
Mobile Device
100%
Experimental Result
33%
Multiple Design
33%
Lab Environment
33%
Average Accuracy
33%
Keyboard
33%
Handwriting Recognition
33%
Tracking Technique
33%
Machine Learning
33%
Learning System
33%