Data glove

Abstract

The invention discloses a data glove, wherein the palm base frame is used for being arranged on a palm part in a sleeving mode, and the finger detection mechanisms are arranged on finger parts in a sleeving mode. The finger detection mechanism comprises thumb, index finger and middle finger, a name finger detection mechanism and a little finger detection mechanism, each finger detection mechanismcomprises sensors worn on the hand backs of the three knuckles and two strain gauge sensors arranged among the three sensors. The strain gauge sensor is used for being attached to a finger joint, thesensors arranged on the three knuckles comprise a first gyroscope sensor provided with a distal phalanx; the second gyroscope sensor is arranged on the proximal phalanx; the third gyroscope sensor isarranged on the middle phalanx; bending degree sensing strips are arranged between the proximal phalanx ends of the index finger detection mechanism, the middle finger detection mechanism, the ring finger detection mechanism and the little finger detection mechanism and the palm base frame, and the bending degree sensing strips are used for being attached to finger joints and conveniently adjustedaccording to different hand types, so that collected finger joint action data are accurate.

Description

technical field [0001] The invention relates to the field of intelligent mechanical equipment data acquisition devices, in particular to a data glove. Background technique [0002] The dexterous hand can simulate manual operation, and has great application prospects in high-risk environments such as deep-sea exploration, battlefield demining, nuclear material handling, and aerospace equipment maintenance. However, the working environment faced by dexterous hands is highly complex and unpredictable, limited by technologies such as artificial intelligence, automatic control, and sensors. Challenging tasks that are difficult to achieve in the short term. The master-slave control method of the dexterous hand is to directly control the dexterous hand through the human hand, use the wisdom of the human brain to directly make decisions about various complex environments that the dexterous hand may encounter, and remotely control the dexterous hand to complete the operation task, w...

AI Technical Summary

Problems solved by technology

However, the existing data glove has a solidified device structure, which cannot adapt to the hand shapes of different wearers, and the data collected by it is in deviation, which leads to deviations between the dexterous hand and the actual simulated human movement, which leads to the existing dexterous hand. When performing some operations that require high precision, the deviation is high

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