Sentence examples for gesture recognition method from inspiring English sources

To test the hand gesture recognition method, the robot movement control system was built.

A bare-handed gesture recognition method is presented based on extended genetic algorithm.

The hand gesture recognition method is based on codebook (CB) background modeling and open finger counting.

This paper presents an adaptive visual gesture recognition method for human robot interaction using a knowledge-based software platform.

We present a novel gender recognition algorithm, a modular eye centre localisation approach and a gaze gesture recognition method, aiming to escalate the intelligence, adaptability and interactivity of HCI systems by combining demographic data (gender) and behavioural data (gaze) to enable development of a range of real-world assistive-technology applications.

Above results toward the public image database demonstrate the fundamental strength of our gesture recognition method.

Nevertheless, these aforementioned gesture recognition methods are not suitably applicable to the fingertip tracking when self-occlusion occurs.

To address the first issue of gesture recognition, methods using image processing have been proposed to recognize gestures, including fingertip movements.

We used the eight trials described in Section 2 as the test set and obtained the N-best results using both the speech and gesture recognition methods introduced in Sections 3 and 4. Each candidate included a word sequence and the time alignment data, i.e., the start and ending time of each word, to determine the correspondence of utterances and gestures.

We conducted an experiment to evaluate the improvement in speech and gesture recognition using the proposed integrative recognition method.

The sign gesture recognition based on the proposed methods yields a 87.33% recognition rate for the American Sign Language.