Data gloves based on micro-inertial sensor network technique

Abstract

The invention discloses a pair of data gloves based on a micro-inertial sensor network technique. Each data glove comprises a plurality of micro-inertial sensors mounted in the glove, as well as a data acquisition and control module arranged on a hand back part on the outer side of the glove, wherein each micro-inertial sensor is a small AHRS (attitude and heading reference system), and comprises a triaxial MEMS (micro-electromechanical system) micro-gyroscope, a triaxial micro-acceleration sensor and a triaxial geomagnetic sensor which are packaged in a circuit board; and the micro-inertial sensors are mounted in the glove and correspond to parts between finger joints, and are combined to form a sensor network. The micro-inertial sensors are distributed at independent movement parts of each data glove reasonably, a gesture attitude is worked out based on the attitude and heading resolving principle, and hand gestures are captured in real time with high accuracy. A central embedded type system in each data glove controls and processes data in the sensors, and sends the data to an upper computer in a certain protocol form. The pair of data gloves based on the micro-inertial sensor network technique are convenient to use and not restrained by the light condition.

Description

technical field [0001] The invention relates to a sensor device for gesture measurement in the field of computer technology, in particular to a data glove based on micro-inertial sensor network technology. Background technique [0002] Gestures are an important means for people to interact with the outside world. People use gestures to express their thoughts and perceive the objective world. With the development of virtual reality technology, virtual hands have been widely used as a natural and efficient way of human-computer interaction. At the same time, in the human motion capture system, the application of efficient data gloves can capture gestures more delicately. parameters, greatly improving the degree of refinement of the human motion capture system and broadening the scope of application. In the virtual environment, the data glove is an important human-computer interaction device, which can obtain hand movement information in real time, and complete functions such ...

AI Technical Summary

Problems solved by technology

Mechanical and glove gesture measurement systems generally have disadvantages such as complex structure and principle, high maintenance costs, low accuracy of motion information capture, complex processing circuits, and limited use conditions.

Data gloves based on video capture also have complex working methods, which are greatly limited by light conditions and occlusion conditions.

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