Experimental training device and application for multi-gesture stretching and grabbing movement in three-dimensional space

Abstract

The invention provides an experimental training device for multi-gesture stretching and grabbing movement in a three-dimensional space. The device mainly comprises a three-dimensional electric slidingtable, an object grabbing component, a button switch, a data collecting card, an electroencephalogram recording system, an optical motion capturing system and a PC machine. By means of the device, multi-gesture stretching and grabbing actions at any position in the three-dimensional space can be achieved; electroencephalogram, arm motion tracks and experiment status of a subject in the task execution process can be recorded simultaneously, and a method for aligning the three types of data in time is provided; in the training process, the training mode and training parameters can be adjusted in real time on the PC machine according to the learning progress of the subject; the whole experiment process is automatically controlled through the PC machine, and artificial participation is reduced. Accordingly, arbitrary combination of multiple grabbing gestures and arbitrary space positions can be achieved, full automatic control over experiments is achieved, and the data of the electroencephalogram, the arm motion tracks and the experiment status is recorded simultaneously.

Description

technical field [0001] The invention belongs to the field of bioengineering, and relates to an experimental training device for multi-gesture stretching and grasping in three-dimensional space, which can be used to guide primates to perform and simultaneously record three types of animals' brain signals, arm movement tracks and experimental states. data. technical background [0002] The basic motor functions of the stretching and grasping movements of the upper limbs of humans and non-human primates are also one of the hot topics in the research of motor neuroscience. Scientists usually need to record the neural signals of the brain's motor cortex, the position of the grasp and the gesture information of the grasp when the subjects (primates) grasp objects in different positions with different gestures, and then analyze the relationship between the neural signals and the movement of the upper limbs. corresponding relationship. [0003] At present, the commonly used experi...

AI Technical Summary

Problems solved by technology

This method limits the relationship between position and gesture, and cannot achieve any combination of position and gesture

During the experiment, the experimenter needs to manually observe and record the position of the grasp, the gesture of the grasp, the time of starting to grasp, the experimental results and other experimental status information, which will not only consume a lot of human resources, but also easily lead to misjudgment

In addition, the recording of motion data is usually discrete position coordinates and gesture numbers, and continuous motion data of the arm motion trajectory cannot be obtained.

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