Motion capture glove for gesture recognition and calibration method thereof

Abstract

The invention belongs to the technical field of human machine interaction, and discloses a motion capture glove for gesture recognition. Finger parts at the two ends of each joint of a glove body are each provided with an attitude sensing module. Each attitude sensing module at least integrates a three-axis MEMS gyroscope, a three-axis MEMS accelerometer, a three-axis magnetic sensor and a sensing microprocessor; each attitude sensing module is connected with the glove body through a special pin chip packaging socket, the special pin chip packaging sockets are attached to a flat cable arranged inside the glove body, and the attitude sensing modules are connected with a concentrator through the flat cable. According to the motion capture glove, the hardware scheme of the attitude sensing modules convenient to replace is adopted, when an attitude detection result is wrong due to the fact that a certain attitude sensing module fails, a user can conveniently replace the failure attitude sensing module, and due to the fact that no complex operation such as welding is needed, the maintenance difficulty and maintenance cost of the motion glove are lowered. The invention further provides a corresponding calibration method.

Description

technical field [0001] The invention belongs to the field of human-computer interaction technology, and more specifically relates to a motion capture glove for gesture recognition and a calibration method thereof. Background technique [0002] Gestures are an important way of interaction when people interact with the outside world. People use gestures to express thoughts, perceive the objective world and complete various operations. With the rapid development of virtual reality technology, the use of motion capture equipment to collect human gesture information can greatly enrich the design content of virtual reality, increase the playability of content, improve the efficiency of human-computer interaction, and broaden the application range of virtual reality systems . [0003] The data glove is a very important input device for hand motion capture in the current virtual reality system. It can track and measure the wearer's flexible gestures and posture changes, transmit t...

AI Technical Summary

Problems solved by technology

In this scheme, the attitude reference system is still implemented by mounting a single gyroscope, accelerometer, and magnetic sensor on the circuit board. When a sensor fails and the attitude reference system is unavailable, it will be very inconvenient to replace the attitude reference system.

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