3D Gesture Recognition Using Mark Points to Replace Sensors
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Solution Overview
Problem
Existing methods for recognizing three-dimensional gestures in head-mounted devices require multiple tracking and positioning sensors on gloves, leading to increased production costs, heat emission, and reduced flexibility, thereby compromising user experience.
Innovation Solution
A method and apparatus for recognizing three-dimensional gestures based on mark points, which uses cameras and gloves with mark points to determine the three-dimensional coordinate positions of the mark points, eliminating the need for tracking and positioning sensors on the gloves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple tracking and positioning sensors are arranged on the gloves, then three-dimensional gesture recognition capability is improved, but production cost increases
Solution Approach 1:
The patent uses visual copying through camera imaging to replace physical sensors. Instead of embedding tracking sensors in the gloves, the system captures images of the gloves wearing mark points and processes these visual copies to determine three-dimensional gesture information, thereby eliminating the need for expensive sensors while maintaining recognition capability
Solution Approach 2:
The patent replaces the mechanical sensor-based tracking system with an optical imaging system. The mechanical sensors (IMU, electromagnetic sensors) are substituted by cameras that capture optical images, and the processing system converts these images into three-dimensional coordinate information, achieving sensorless gesture recognition
2Reliability
If multiple tracking and positioning sensors are arranged on the gloves, then three-dimensional gesture recognition capability is improved, but heat emission increases
Solution Approach 1:
The system uses visual copying through camera imaging to replace physical sensors. Instead of embedding tracking sensors in the gloves, the system captures images of the gloves wearing mark points and processes these visual copies to determine three-dimensional gesture information, thereby eliminating the need for expensive sensors while maintaining recognition capability
Solution Approach 2:
The patent replaces the mechanical sensor-based tracking system with an optical imaging system. The mechanical sensors (IMU, electromagnetic sensors) are substituted by cameras that capture optical images, and the processing system converts these images into three-dimensional coordinate information, achieving sensorless gesture recognition
3Reliability
If multiple tracking and positioning sensors are arranged on the gloves, then three-dimensional gesture recognition capability is improved, but flexibility is reduced
Solution Approach 1:
The system uses visual copying through camera imaging to replace physical sensors. Instead of embedding tracking sensors in the gloves, the system captures images of the gloves wearing mark points and processes these visual copies to determine three-dimensional gesture information, thereby eliminating the need for expensive sensors while maintaining recognition capability
Solution Approach 2:
The patent replaces the mechanical sensor-based tracking system with an optical imaging system. The mechanical sensors (IMU, electromagnetic sensors) are substituted by cameras that capture optical images, and the processing system converts these images into three-dimensional coordinate information, achieving sensorless gesture recognition
Data Source
AI summary
A method and apparatus for recognizing a three-dimensional gesture based on mark points, a device and a storage medium are provided. An image collected by each camera is acquired; for each image, an identifier and a corresponding two-dimensional coordinate position of each mark point in the image are determined; a three-dimensional coordinate position of each mark point in a coordinate system of a corresponding camera is determined according to the two-dimensional coordinate position of each mark point and a calibration parameter of the corresponding camera; the three-dimensional coordinate position is converted to an initial three-dimensional coordinate position in a coordinate system of the designated space; and a target three-dimensional coordinate position of each mark point in the coordinate system of the designated space is determined according to the initial three-dimensional coordinate position of each mark point in each image and the identifier of the corresponding mark point.


