Method for collecting finger bending state data

Abstract

The invention relates to a method for acquiring finger bending state data, in particular to a method for acquiring finger bending state data by utilizing a self-resetting linear sliding potentiometeraccording to data of finger outer side bending length change. The self-resetting sliding potentiometer is fixed at the hand back position of a glove; a pull rope penetrates through the glove outer layer along the outer sides of the fingers; the pull rope end is fixed at the fingertip of the glove; the pull rope is limited in the middle of the outer side of the finger of the glove through the pipesleeve or the fiber; the bending action of the finger can drive the pull rope to generate length change, so that the self-resetting sliding potentiometer is dragged to generate sampling voltage change; and the finger stretching state and the complete bending state correspond to two limits of the potentiometer, and thus state data in the finger bending process is collected.

Description

technical field [0001] The invention relates to a method for collecting finger bending state data, and belongs to the technical fields of VR and robots. Background technique [0002] The development of follow-up robot and VR technology requires accurate and efficient collection of human finger joint movement signals to control the joint movement of the robot or VR virtual bone movement. The existing signal collection methods are mainly myoelectric sensors, bending sensors, and connecting rod drives. There are several methods such as rotary potentiometers. The main problem of these sensors is that the signal capture is not accurate enough, and the sensitivity is not high enough, which is beneficial to the low wearing comfort of gloves made of these sensors. Contents of the invention [0003] In order to overcome the deficiencies of the prior art above, the present invention provides a method for collecting finger bending state data. [0004] In order to achieve the above t...

AI Technical Summary

Problems solved by technology

[0002] The development of follow-up robot and VR technology requires accurate and efficient collection of human finger joint movement signals to control the joint movement of the robot or VR virtual bone movement. The existing signal collection methods are mainly myoelectric sensors, bending sensors, and connecting rod drives. There are several methods such as rotary potentiometers. The main problem with these sensors is that the signal capture is not accurate enough, and the sensitivity is not high enough, which is conducive to the low wearing comfort of gloves made of these sensors.

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