A wristband gesture recognition device based on human-computer interaction

Abstract

The invention discloses a wrist-strap-type gesture recognition device based on human-computer interaction. The wrist-strap-type gesture recognition device based on the human-computer interaction is composed of a device outer shell, a wrist strap, a collection analysis module, a button, a switch, a data interface, a tension sensor, a spring, a traction belt, an infrared tube, a tightness adjusting clamp and finger ring covers. According to the wrist-strap-type gesture recognition device based on the human-computer interaction, the wrist strap is worn on the wrist of a user, the five finger ring covers are worn on the five fingers of the user, and the tightness of the traction belt is adjusted through the tightness adjusting clamp to enable the spring to be right in a tight state. When the fingers move, the related data of the finger moving tracks are acquired by the collection analysis module through the infrared tube and the tension sensor, so that the gesture of the user is recognized, the data are transmitted to a computer through the data interface, and effective human-computer interaction is carried out. Operation is flexible, and the application range is wide.

Description

technical field [0001] The invention relates to a recognition device, in particular to a wristband type gesture recognition device based on human-computer interaction. Background technique [0002] Human-computer interaction refers to the process of exchanging information between humans and computers in a certain interactive way through a certain dialogue language in order to complete certain tasks. [0003] With the development of human-computer interaction, the indirect operation methods of traditional control devices such as mouse and keyboard are gradually replaced due to relying too much on computers for self-calculation, inflexible operation, and restrictions on users and scope of use. The existing popular human-computer interaction methods mostly use gesture recognition, which is divided into video-based gesture recognition and voice-based gesture recognition. Among them, gesture recognition based on video has disadvantages such as large amount of calculation, high r...

AI Technical Summary

Problems solved by technology

Among them, video-based gesture recognition has disadvantages such as large amount of calculation, high misjudgment rate, and requirements for lighting.

Voice-based gesture recognition captures a group of voice information obtained through the speech process such as keywords, which requires the accuracy of human pronunciation and the need to remember voice commands and other defects, which bring inconvenience to the operation.

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