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Ultrasonic gesture recognition method and system

A gesture recognition and ultrasonic technology, applied in the field of human-computer interaction, can solve problems such as unsatisfactory recognition accuracy, achieve the effect of enhancing human-computer interaction experience, improving accuracy and robustness, and reducing invalid or even wrong responses

Active Publication Date: 2016-12-07
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, hand movements are very flexible in daily life, and the possibility of misuse is high. The recognition accuracy of existing ultrasonic gesture recognition methods is not ideal.

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  • Ultrasonic gesture recognition method and system
  • Ultrasonic gesture recognition method and system
  • Ultrasonic gesture recognition method and system

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] People's behavior is often affected by the situation they are in, and the probability of the same gesture occurring in different situations may be different. However, the existing ultrasonic recognition method only focuses on hand movement, and recognizes the relevant gesture data immediately after collecting relevant gesture data, without considering whether the current gesture is suitable for the user's current environment, ignoring the user's real intention, which often leads to ineffectiveness. Even wrong responses. In the present invention, an ultrasonic gesture recognitio...

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Abstract

The invention provides an ultrasonic gesture recognition method. The method includes the steps that ultrasonic signals and situation information related to a current situation are collected at the same time, gesture features are obtained from the collected ultrasonic signals, and the probability that the gesture features belong to various preset gestures is obtained by means of a gesture classification model trained in advance; the probability that the gestures happen in the current situation is determined on the basis of the collected situation information; according to the two probabilities, the probability that the gesture features belong to various preset gestures in the current situation is calculated, and the gesture corresponding to the largest probability is recognized as the gesture corresponding to the collected ultrasonic signals. By means of the method, gesture signals and the situation information are fused, by means of the situation information, misoperation gestures of users are filtered, wrong gestures are corrected and recognized, invalid even wrong responses are reduced, accordingly accuracy and robustness of gesture recognition are improved, and man-machine interaction experiences are improved.

Description

technical field [0001] The invention belongs to the field of human-computer interaction, in particular to a non-contact gesture recognition method. Background technique [0002] With the popularity of wearable smart mobile terminals such as smartphones, watches, and bracelets, gesture recognition is playing an increasingly important role in the field of human-computer interaction. Wearable devices such as smart watches and bracelets have small screens or are not equipped with display screens, which makes it difficult to directly apply traditional button or touch screen gesture recognition methods, and non-contact gesture recognition methods have emerged as the times require. Traditional non-contact gesture recognition methods are mainly based on computer vision, data gloves, motion sensors, etc., which have problems such as sensitivity to light, high computational complexity, inconvenient operation, and limited operating range. [0003] Ultrasonic gesture recognition method...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F2218/00G06F2218/08G06F2218/12G06F18/24
Inventor 陈益强于汉超钟习杨晓东胡子昂
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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