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Modeling and Recognition of Characters, Words and Connecting Motions in the Air

Deepa. D, R. Dharmalingam

We address recognizing on the fly on two levels: motion characters and motion words. Isolated airwriting characters can be recognized similar to motion gestures although with increased sophistication and variability.Using different tracking technologies, the motion can be tracked explicitly with the position and orientation or implicitly with the acceleration and angular speed. In this work, we address the problem of motion gesture recognition for commandand control applications. Recognition of characters or words is accomplished based on sixdegree- of freedom hand motion data. . We investigate the relative effectiveness of various feature dimensions of optical and inertial tracking signals and report the attainable recognition performance correspondingly. We also subjectively and objectively evaluate the effectiveness of air-writing and compare it with text input using a virtual keyboard.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

Индексировано в

Индекс Коперника
Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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