Gesture recognition method, device, storage medium and device based on neural network
A neural network and gesture recognition technology, which is applied in the field of gesture recognition based on neural networks, can solve the problem of high computing power requirements for gesture recognition, achieve the effect of reducing the amount of calculation, solving high computing power requirements, and reducing computing power requirements
Active Publication Date: 2020-09-01
武汉灏存科技有限公司
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[0008] The main purpose of the present invention is to provide a gesture recognition method, device, storage medium and device based on a neural network, aiming at solving the technical problem that gesture recognition requires higher computing power
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[0047] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0048] refer to figure 1 , figure 1 It is a schematic diagram of the user equipment structure of the hardware operating environment involved in the solution of the embodiment of the present invention.
[0049] like figure 1 As shown, the user equipment may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. Optionally, the network interface 1004 may include a s...
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The invention discloses a neural network-based gesture recognition method, equipment, storage medium and device. In the present invention, the current gesture data is collected, and the preset inter-layer relationship template corresponding to the preset training neural network is read. The preset inter-layer relationship template includes each inter-layer relationship expression, and the preset inter-layer relationship template is passed according to the current gesture data. Neural network-based gesture recognition operations are performed on the relational expressions between layers in order to obtain gesture recognition results. Different from the implementation mode of directly applying the preset training neural network to implement the gesture recognition operation, the present invention strips the preset training neural network and simplifies it into an inter-layer relational expression, and implements the gesture recognition operation by applying the inter-layer relational expression In this way, the amount of calculation consumed by gesture recognition can be greatly reduced, and the requirement for computing power of the device is also reduced, which solves the technical problem that gesture recognition requires high computing power.
Description
technical field [0001] The present invention relates to the technical field of neural networks, in particular to a neural network-based gesture recognition method, equipment, storage medium and device. Background technique [0002] With the gradual popularization of electronic equipment, the human-computer interaction mode between users and electronic equipment has also developed from the simple interaction mode of remote control, mouse, keyboard and other peripherals to the use of voice interaction, somatosensory interaction, eye movement interaction and Gesture interaction and other diverse interaction methods. [0003] In particular, with regard to the gesture interaction mode, since the gesture interaction mode is more convenient, it can be better applied in many application scenarios. [0004] However, since there is a gesture recognition link in the gesture interaction method, and the calculation process of the gesture recognition link is relatively complicated and re...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/107G06N3/045G06F18/22
Inventor 周文奇熊鹏航李美宏邱轶琛
Owner 武汉灏存科技有限公司