Simulated actual combat training system
A training system and actual combat technology, applied in the field of simulated actual combat training system, can solve problems such as inability to train, and achieve the effect of improving the effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0032] An embodiment of a simulated actual combat training system of the present invention is basically as attached figure 1 Shown: includes:
[0033] Sandbag, the surface of the sandbag is provided with an airbag, and the airbag is connected to the pump body through a solenoid valve;
[0034] Pressure detection device, the pressure detection device is set on the sandbag, used to detect the pressure on the sandbag in real time, and send the pressure detection value to the controller;
[0035] The myoelectric acquisition device, the myoelectric acquisition device is used to collect the myoelectric signals of the muscles of the trainer's arm in real time, and send the myoelectric signals to the controller;
[0036] Multiple MEMS sensors, MEMS sensors are used to collect the movement data of different body parts of the trainer in real time, and send the movement data to the controller;
[0037] a controller, the controller is used to receive the myoelectric signal in real time,...
Embodiment 2
[0048] The only difference from Example 1 is that
[0049] The controller also inputs the action data into the preset action recognition model for calculation to obtain action correction information; and recognizes the trainer's movement action according to the myoelectric data, and compares the movement action with the preset standard action to obtain Action guidance data. In this embodiment, the action recognition model is obtained in advance through machine learning algorithms on the basis of previous field data. During the training process, the speed, acceleration, and The action data such as angle and angular velocity can be used to judge the real-time action of the trainer. For example, the difference between the user’s action data and the standard action data is calculated, and the difference is the action guidance data; on the basis of the action guidance data, the The trainer's movement correction information, for example, is adjusted according to the difference to g...
Embodiment 3
[0051] The only difference from Example 2 is that
[0052] The controller is also used to import the myoelectric data into the preset fatigue prediction model for calculation, so as to obtain the estimated time when the trainer reaches the fatigue state. In this embodiment, the fatigue prediction model is pre-obtained by machine learning algorithm based on the data of previous competitions, and the estimated time for the trainer to reach the fatigue state can be calculated according to the myoelectric data, so that the trainer can reasonably grasp the training time.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com