| 摘要 |
<p>In order to improve the accuracy of recognition of hand-written input using a stylus (1), output signals from a plurality of accelerometers representing x and y axis acceleration and deceleration are sampled at a predetermined rate and passed through a digital bandpass filter (7) to remove high frequency components and dc components arising from gravity. x and y vectors derived from the original x and y input signals are passed to a classifier using a hidden Markov model. Bandpass filtering improves the robustness of the interpretation of the vectors against stored templates which may be templates of individual characterisations or of whole words.</p> |
