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Training method of gesture motion recognition model and gesture motion recognition method

A gesture action and recognition model technology, applied in the field of gesture recognition, can solve the problems of low recognition accuracy and efficiency and high complexity

Active Publication Date: 2011-04-20
中科乐听智能技术(济南)有限公司
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  • Summary
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  • Claims
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the defects of existing gesture recognition methods such as high complexity, or low recognition accuracy and efficiency, thereby providing a simple, easy-to-use, and high-accuracy gesture recognition method

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  • Training method of gesture motion recognition model and gesture motion recognition method
  • Training method of gesture motion recognition model and gesture motion recognition method
  • Training method of gesture motion recognition model and gesture motion recognition method

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Embodiment Construction

[0055] For the convenience of understanding, before describing the method of the present invention in detail, a possible application scenario of the method of the present invention is given first. When conducting PPT lectures, teachers hope to communicate with students in text to increase the interaction between teachers and students. When the teacher uses a stylus to complete the corresponding gesture input in the air, such as drawing a "0" in the air, if the gesture collected by the stylus can be recognized and reflected on the PPT interface, then the teacher can freely The walking space completes the operation of the PPT, and the input of commands can be realized through a few simple gestures. In the process of free walking, operations such as marking the students’ feedback on the PPT and turning pages back and forth on the PPT page can be realized. Compared with the existing technology, which needs to be fixed near the podium and use the mouse and keyboard to complete clas...

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Abstract

The invention provides a training method of a gesture motion recognition model, comprising: obtaining sample data for gesture motion recognition training by a gyro sensor, wherein the sample data comprises a biaxial gyro data sequence for recording certain gesture motion; normalizing data length for each biaxial gyro data sequence in the obtained sample data to generate a biaxial gyro data sequence with the standard length; extracting a characteristic vector from the obtained biaxial gyro data sequence, wherein the characteristic vector reflects the motion angle information of the gyro sensor; and training the gesture motion recognition model by the characteristic vector. The invention has high instantaneity, wide applicable range, strong robustness and reliable body sensing motion recognition and is simple in realization.

Description

technical field [0001] The invention relates to the field of gesture recognition, in particular to a gesture recognition model training method and a gesture recognition method. Background technique [0002] Human-computer interaction, as a bridge between people and equipment, occupies a pivotal position in future intelligent input. Common interactive devices include keyboards, mice, handwriting tablets, touch screens, remote controls, etc. The software in these interactive devices converts device status changes into various interactive semantics, such as turning up the volume, switching TV program channels, and flipping PPT pages. And then sent to the target system. However, there are various deficiencies in traditional input devices, and their interaction modes are still at the two-dimensional stage, and 3D input cannot be carried out out of plane. For example, when teachers give PPT lectures in the classroom, the operation of PPT is still in the relatively primitive stag...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/00
Inventor 邢云冰陈益强黄启友胡明清
Owner 中科乐听智能技术(济南)有限公司
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