Handwriting recognition using acceleration-based motion detection
Handwriting recognition using acceleration-based motion detection
- Author(s): B. Milner
- DOI: 10.1049/ic:19990205
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- Author(s): B. Milner Source: IEE Colloquium on Document Image Processing and Multimedia, 1999 page ()
- Conference: IEE Colloquium on Document Image Processing and Multimedia
An alternative to conventional tablet based handwriting recognition is proposed, whereby the movement of the pen is determined from a pair of accelerometers. These accelerometers are mounted on the side of a normal pen and produce a pair of time varying waveforms. This has prompted the modification of some algorithms which have proved successful in the speech area-namely bandpass filtering and hidden Markov models. Early experiments have shown that the scheme has some potential, with a very simple isolated word task attaining over 96% word accuracy for a single writer. (6 pages)
Inspec keywords: band-pass filters; hidden Markov models; accelerometers; motion estimation; handwriting recognition
Subjects: Filtering methods in signal processing; Character recognition; Markov processes; Markov processes; Optical, image and video signal processing; Meters and gauges for control systems; Computer vision and image processing techniques; Velocity, acceleration and rotation measurement
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