| 摘要 |
<p>A portable appliance converts gesture-based inputs from a signer to audible speech in real time. The device employs a portable main processor, for example, one of the portable computers now in common use. For its input the appliance uses a data glove and for its output a speaker. Dynamic and static gestures are classified by a Continuous Hidden Markov Model (CHMM) which is capable of robust and rapid real time classification of both static and dynamic gestures. A natural language processor is used to transform the gesture classes into grammatically correct sequences of words. A speech synthesizer converts the word sequences into audible speech.</p> |
