Sensing method for gesture and spatial location of hand

A technology of spatial location and spatial location information, applied in the field of improved human-computer interaction technology, can solve problems such as influence, extraction, and reduction of comfort and convenience of using equipment, and achieve low cost, low computational complexity, and low system effect of complexity

Active Publication Date: 2011-08-17
深圳巧牛科技有限公司
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AI Technical Summary

Problems solved by technology

This method is relatively intuitive, but requires a complex mathematical calculation process, and cannot identify and track the opponent's spatial position
[0005] In addition, in the field of hand motion perception, there are still several major technical challenges: First, how to effectively extract the hand area from the acquired image
Some technical solutions perform segmentation processing by identifying human skin color, but they are greatly affected by ambient light conditions, and special processin

Method used

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  • Sensing method for gesture and spatial location of hand
  • Sensing method for gesture and spatial location of hand
  • Sensing method for gesture and spatial location of hand

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Embodiment Construction

[0028] figure 1 It is an overall structural diagram of a multi-camera system for hand posture and position perception according to the present invention. Such as figure 1 As shown, the hand posture / position sensing system according to the present invention includes: a host computer 101, a control circuit 102 of a multi-camera system, a plurality of cameras 103, a user's hand 104, an application program 105 running on the host computer 101, an application The operated object 106 and the virtual hand cursor 107 in the program 105, the multi-camera system is also included in figure 1 The infrared illumination light source for illuminating the user's hand 104 and the infrared filter placed in front of each camera are not shown.

[0029] figure 1 The plurality of cameras 103 includes a plurality of cameras in different spatial positions, and is used to capture images of the user's hand 104 from different angles. Multiple cameras 103 have infrared sensitivity. Multiple IR LEDs ...

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Abstract

The invention provides a human-machine interaction technology for the hand gesture recognition based on variable number of cameras by adopting an infrared light source. In the method, a user does not need to wear any assistive device, and the method has the outstanding characteristics of wide application range, comprehensive motion sensing capabilities, low production cost, low computation complexity and the like. In the invention, the gesture and location of a hand are modeled by using a virtual reality method, and a template database is generated. In practical use, background-removed input images of a plurality of cameras are compared with items in the template database, and an item with the minimum contrast difference in the database is regarded as an initial recognition result of the gesture of the hand. In order to obtain a more stable recognition result, a smoothing filter method is adopted to correct the initial recognition result so as to provide more stable recognition data for the user. In addition, sequences of hand motions in a continuous period can be recognized by the human-machine interaction technology, and rich options are provided for the human-machine interaction.

Description

technical field [0001] The present invention generally relates to improved hand gesture and position sensing methods. More specifically, the present invention refers to a multi-camera system-based method for sensing hand posture and position using infrared light, which is used to provide improved human-computer interaction technology. Background technique [0002] Over the years, with the popularization and development of multimedia technology, people have been unremittingly exploring new human-computer interaction technology. The use of limbs, gestures and other intuitive ways to complete computer manipulation has become a technology hotspot. The human hand is a complex executive mechanism with high flexibility, rich expressiveness, and fine manipulation. However, these characteristics also make the recognition and tracking of gestures a major challenge in computer research. [0003] The recognition of hand movements can be achieved in a variety of ways. US20100199228A1 ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 刘津甦党建勋
Owner 深圳巧牛科技有限公司
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