VisuGait motion footprint posture behavior analysis system

1VisuGait motion footprint posture behavior analysis systemTechnical Specifications

• Fecal collection device; adoptAcrylonitrile Butadiene Styrene,High-density foam, Wave crest sponge， Made of materials such as polymethyl methacrylate board and acrylonitrile butadiene styrene copolymer, non-toxic and odorless, easy to remove and clean.
• The video data collection component includes:Adopting imported cold light source high-speed cameraUltra low illumination of 0.05 lx,120fps，1/4”CCDHigh speed cameras,Resolution 640 × 480camera lens,compatibleGigabit Ethernet portOr USB 3.0.
• redLEDbacklightscreenBackground Enhancement System.
• Closed daylighting system，Closed pedestrian platformdesignWithout taking any coercive measures on animals, it is possible to accurately evaluate their footsteps and gait, thereby obtaining a natural gait.
• Footprint Enhancement Board Component：fromredLEDbacklightscreen、High throughput tempered glassWalkway, greenLEDfluorescenceLaunch moduleclosed-ended通道The pedestrian platformcomposition adoptFootprint bright refraction technology, green fluorescent footprints can capture real (real and dynamic) footprints
• By adjusting the camera's white balance and light gain through software to adapt to different environmental lighting conditions, the gait working area can also be selected based on the size of the mouse;And adjustableFootprint Enhancement Board ComponentThe light intensity of the red backlight board and green LED walking board.
• Mouse walking pathThe width of the channel can be adjusted according to the size of the animal0-20cm.canMeasure the weight distribution of animals to obtain differences in foot pressure.
• Rat and mouse compatible bracket.And it has the ability to be lifted and loweredredLEDbacklightScreen and channel.

IISuperFootPrint motion footprint posture behavior analysis systemSoftware Introduction

• The software can set experimental groups and animal identification numbers for each experimental group.Adopting an experimental user and visitor login design, experimental users need to enter a password to enter the experiment. Users can set independent experimental data files, and the experimental data is easy to store and manage;
• We use advanced technologies such as Image Denoising, VACA, Subtraction, Binarization Algorithm, and Edge Measurement to ensure stable and reliable experimental data. Our three-point tracking algorithm can recognize the head, body, and tail parts, eliminating the possibility of misidentification when the tail is close to an object. *Intelligent recognition of body size, head, tail, limbs, center, real-time tracking.
• The software system can synchronously display distance based indicator analysis images, time based indicator analysis images, posture based indicator analysis images, and plantar pressure based indicator analysis images in various information display areas during gait video analysis;It can also displaySciatic nerve function indexWait.
• Custom indicator mode, customize the program system according to your needs at any time.
• Software supports RadioPowerOn function
• Advanced Gait Analysis: This system can calculate a large number of parameters based on the size, position, and pressure of each footprint, for qualitative and quantitative analysis of individual footsteps and gaits
• After the software automatically recognizes gait, experimenters can make subtle adjustments to the automatic recognition results based on their experimental experience;And addedFootprint automatic classification module, footprint interactive recognition system,achievableAutomatically detect classification errors and prompt manual tagging system to recognize blurry footprints.
• The video recording and analysis of the experiment can besaveAnd export.

9. The experimental process is automatically controlled by a computer.Detecting the soles of animal legs using a cold light camera,automaticCalculate animalsGait walking conditionWithout the need for manual monitoring of the tested object, the experimental data can be automatically recorded at any time, and the effects before and after processing (such as before and after medication, before and after surgery) can be evaluated,

10. experimental resultsIt can be directly imported into an Excel spreadsheet for further analysis and processing by users in the future

IIIexperimental indicators

Possible implementations includeFootprint parameters, contact parameters, step sequence parametersWalking postureparameterwait200Multiple indicators,includingTraditional indicators such as walking cycle, support duration, swing duration, and average intensity of footprints should be at least150Class, as well as innovative indicators such as braking time, propulsion time, body angle standard deviation, and average axial movement, etc50Class;And it can be achievedAdvanced Fine Gait Analysis, including:

Single footprint parameter:（Footprint area, suspension and ground contact time, ground contact speed, compared to support time, pressureWait. ）

The distance between footprintsparameter:（Foot distance, step circumference, distance between footprints on the same sideEtc.)

Time relationship between footprints:（Step count per unit time, support method, step sequence, time delay, walking speedWait. ）

Interactive Footprint Measurement Function：（Distant toe opening distance, proximal toe opening distance, footprint length, paw orientationEtc.)

4System Requirements