Gesture Recognition Device Using Magnetometer and Gyroscope
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional human machine interfaces require users to switch the device into a command-receiving mode, causing inconvenience and reducing the naturalness of user experience.
Innovation Solution
A recognition device with a sensor module including a magnetometer and gyroscope determines user gestures to activate an image capturing function, allowing for intuitive interaction without explicit command input, and an intelligent device with image recognition and information providing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional mouse and keyboard interfaces are used, then the machine can be operated with precise control, but the user experience becomes less intuitive and requires more learning time
Solution Approach 1:
The patent replaces traditional mechanical input devices (mouse, keyboard) with gesture-based control using motion sensors. Users perform natural hand gestures in 3D space to interact with the interface, eliminating the need for physical buttons or keyboards. This substitution makes the interface more intuitive while maintaining operational precision through sensor-based gesture recognition.
Solution Approach 2:
The patent introduces spatial dimensionality to the interface by enabling gestures in three-dimensional space. Instead of two-dimensional screen interactions, users can perform gestures above the device, adding a vertical dimension to interaction. This dimensional expansion creates more natural and intuitive control methods while reducing the perceived complexity of the interface.
2Ease of operation
If touch-based interface is implemented, then the ease of use is improved, but users still need to switch to command-receiving mode which reduces naturalness
Solution Approach 1:
The patent implements preliminary action by continuously monitoring gesture inputs without requiring users to explicitly switch to command mode. The system proactively detects and interprets gestures as commands in real-time, performing the mode-switching action beforehand and maintaining a state where natural gestures are always recognized as instructions. This eliminates the harmful mode-switching inconvenience while preserving ease of use.
3Ease of operation
If gesture recognition with magnetometer and gyroscope is implemented, then natural interaction is achieved, but the device complexity increases
Solution Approach 1:
The patent applies universality by using the magnetometer and gyroscope sensor module for multiple functions: gesture recognition, orientation detection, and spatial positioning. These sensors serve the primary gesture control function while also providing auxiliary information for enhanced interaction, reducing the need for additional specialized sensors and justifying the complexity through multi-functional utility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables natural and effortless user interaction by capturing and recognizing images based on user gestures, providing relevant information without the need for explicit command inputs, enhancing user experience.
Implementation Method 1
a magnetometer configured for measuring a direction
Implementation Method 2
a gyroscope configured for measuring at least one angular velocity
Data Source
AI summary
An intelligent device is configured to provide relevant information related to an image. The intelligent device includes a sensor module, an activation module, an image capture module, an image recognition module, and an information providing module. The sensor module includes a magnetometer and a gyroscope. The magnetometer detects a direction of a gesture relative to the intelligent device. The gyroscope detects at least one angular velocity of the gesture. The activation module determines the gesture according to the direction and the angular velocities, and generates an activating signal according to the gesture determined. The image capture module captures the image according to the activation signal. The image recognition module identifies the image to retrieve relevant information related to the image. The information providing module provides the relevant information.