CN203139477U

CN203139477U - Long jump training assistant system on basis of action identification technology

Info

Publication number: CN203139477U
Application number: CN 201320003099
Authority: CN
Inventors: 陈拥权; 王略志; 刘思杨; 胡翀豪
Original assignee: ANHUI COSWIT INFORMATION TECHNOLOGY Co Ltd
Current assignee: ANHUI COSWIT INFORMATION TECHNOLOGY Co Ltd
Priority date: 2013-01-04
Filing date: 2013-01-04
Publication date: 2013-08-21
Anticipated expiration: 2023-01-04

Abstract

The utility model discloses a long jump training assistant system on the basis of an action identification technology. The long jump training assistant system comprises a host, a display, an image acquisition device, a long jump pedal and rings. The rings are worn on four limbs of a human body, the image acquisition device comprises a shell, two cameras which are aligned to the human body are arranged on a side wall of the shell, an FPGA (field programmable gate array) and a DSP (digital signal processor) are arranged in the shell, the cameras are driven by the FPGA, the DSP is in bidirectional communication connection with the FPGA, is connected with the host by a USB (universal serial bus) and is further connected with the two cameras by I2C/SPI (inter-integrated circuit/serial peripheral interface) buses respectively, the long jump pedal comprises a bottom plate and a pressure sensor array laid on the bottom plate, a rubber plate is arranged on the pressure sensor array, transverse strip-shaped protrusions are arranged on the rubber plate, a measuring scale is arranged at the front end of the rubber plate, a shoe hook is arranged at the front end of the measuring scale, an MCU (microprogrammed control unit), an inertia measuring unit and a wireless module are arranged in each ring, each inertia measuring unit and the corresponding wireless module are connected into the corresponding MCU, and the MCU arranged in each ring is in communication connection with the host by the corresponding wireless module connected with the MCU. The long jump training assistant system has the advantages that long jump training action images of the human body can be vividly simulated, and a long jump training effect can be improved.

Description

A kind of long-jump training accessory system based on the action recognition technology

Technical field

The utility model relates to training auxiliary equipment field, is specially a kind of long-jump training accessory system based on the action recognition technology.

Background technology

Based on the motion identification device of the video handle by the built-in sensitive device, main frame, display, formations such as action recognition module, can be by the moving image of the camera collection human body in the motion identification device, and by integrated image algorithm chip, moving image is resolved, form the Three-Dimensional Dynamic coordinate of human motion, synthetic and the emulation through the image of main frame, in display, show corresponding action at last, therefore can be used as the auxiliary equipment of training based on the motion identification device of video, but still do not have the long-jump Training Aids Facility based on action recognition in the prior art.

The utility model content

The purpose of this utility model provides a kind of long-jump training accessory system based on the action recognition technology, to solve prior art not based on the problem of the long-jump Training Aids Facility of action recognition

In order to achieve the above object, the technical scheme that adopts of the utility model is:

A kind of long-jump training accessory system based on the action recognition technology, include main frame, insert the display of main frame, it is characterized in that: also comprise placing the image collecting device that on the display human body is carried out IMAQ, the collar that places the long jump pedal in display the place ahead and be worn on human limb, described image collecting device comprises housing, housing sidewall is provided with two cameras of aiming at human body, be provided with the FPGA that drives camera in the housing, and the DSP that is connected with the FPGA two-way communication, described DSP is connected with main frame by usb bus, DSP also is connected with two cameras by the I2C/SPI bus respectively, described long jump pedal includes base plate, be laid on the array of pressure sensors on the base plate, array of pressure sensors is provided with rubber slab, rubber slab is provided with the horizontal stripe projection, the rubber slab front end is provided with dip stick, the dip stick front end is provided with the footwear hook, base plate is built-in with center processing unit, insert signal gathering unit and the wireless module of center processing unit, the signal output part of array of pressure sensors inserts signal gathering unit, center processing unit is connected with host communication by the wireless module that connects, the collar is built-in with MCU, insert Inertial Measurement Unit and the wireless module of MCU, the built-in MCU of the collar is connected with host communication by the wireless module that connects.

Described a kind of long-jump training accessory system based on the action recognition technology, it is characterized in that: described Inertial Measurement Unit comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.

In the utility model, by camera acquisition human body long-jump motion images, obtain human body both arms exercise data by Inertial Measurement Unit in the collar, foot pressure signal when obtaining the human body take-off by array of pressure sensors also is sent to main frame respectively, and main frame simulates human body long-jump training action picture by image, exercise data and the pressure signal that sends at display.The utility model can be simulated human body long-jump training action picture realistically, has improved the long-jump training effect.

Description of drawings

Fig. 1 is the utility model structural representation.

Fig. 2 is the utility model image collecting device structural principle block diagram.

Fig. 3 is the utility model thimble structure schematic diagram.

The specific embodiment

As Fig. 1, Fig. 2 and shown in Figure 3.A kind of long-jump training accessory system based on the action recognition technology, include main frame 1, insert the display 2 of main frame 1, also comprise and place the image collecting device that on the display 2 human body is carried out IMAQ, the collar 3 that places the long jump pedal in display 2 the place aheads and be worn on human limb, image collecting device comprises housing 4, housing 4 sidewalls are provided with two cameras 5 of aiming at human body, be provided with the FPGA that drives camera 5 in the housing 4, and the DSP that is connected with the FPGA two-way communication, described DSP is connected with main frame by usb bus, DSP also is connected with two cameras 5 by the I2C/SPI bus respectively, long jump pedal includes base plate 6, be laid on the array of pressure sensors 7 on the base plate 6, array of pressure sensors 7 is provided with rubber slab 8, rubber slab 8 is provided with horizontal stripe projection 9, rubber slab 8 front ends are provided with dip stick 13, dip stick 13 front ends are provided with footwear hook 14, base plate 6 is built-in with center processing unit, insert signal gathering unit and the wireless module of center processing unit, the signal output part of array of pressure sensors inserts signal gathering unit, center processing unit is connected with main frame 1 communication by the wireless module that connects, the collar 3 is built-in with MCU10, insert Inertial Measurement Unit 11 and the wireless module 12 of MCU10, the collar 3 built-in MCU10 are connected with main frame 1 communication by the wireless module 12 that connects.Inertial Measurement Unit 11 comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.

Claims

1. accessory system is trained in the long-jump based on the action recognition technology, include main frame, insert the display of main frame, it is characterized in that: also comprise placing the image collecting device that on the display human body is carried out IMAQ, the collar that places the long jump pedal in display the place ahead and be worn on human limb, described image collecting device comprises housing, housing sidewall is provided with two cameras of aiming at human body, be provided with the FPGA that drives camera in the housing, and the DSP that is connected with the FPGA two-way communication, described DSP is connected with main frame by usb bus, DSP also is connected with two cameras by the I2C/SPI bus respectively, described long jump pedal includes base plate, be laid on the array of pressure sensors on the base plate, array of pressure sensors is provided with rubber slab, rubber slab is provided with the horizontal stripe projection, the rubber slab front end is provided with dip stick, the dip stick front end is provided with the footwear hook, base plate is built-in with center processing unit, insert signal gathering unit and the wireless module of center processing unit, the signal output part of array of pressure sensors inserts signal gathering unit, center processing unit is connected with host communication by the wireless module that connects, the collar is built-in with MCU, insert Inertial Measurement Unit and the wireless module of MCU, the built-in MCU of the collar is connected with host communication by the wireless module that connects.

2. accessory system is trained in a kind of long-jump based on the action recognition technology according to claim 1, and it is characterized in that: described Inertial Measurement Unit comprises three dimension acceleration sensor, three-axis gyroscope, magnetic sensor.