Head Movement Cursor Control via Earphone Angular Velocity Sensor
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Solution Overview
Problem
Current human-machine interaction methods, such as touch screens and hand gesture inputs, are inconvenient for users who need to free their hands or operate in small spaces, and face recognition technologies face issues with low recognition rates and high power consumption.
Innovation Solution
A system using a Bluetooth earphone with a MEMS angular velocity sensor to detect head movements, allowing users to point and click by moving their head, with nodding and shaking simulating button presses, enabling hands-free interaction in 3D space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If touch screen is used for input, then ease of operation is improved, but device size reduction causes finger size to become relatively large making precise input difficult
Solution Approach 1:
The patent replaces manual touch input with head movement detection using a motion sensor. The user's head movements are detected and converted into cursor control signals, eliminating the need for physical finger contact with the screen. This substitution of mechanical input method resolves the contradiction by allowing precise control through natural head motion rather than constrained finger movement on small screens.
2Ease of operation
If hand gesture input is used, then hands are occupied for operation, but users who need to free their hands cannot use this method
Solution Approach 1:
The patent substitutes hand-based gesture input with head-based motion detection. By using a motion sensor to detect head movements and convert them into control signals, the system frees both hands for other tasks while maintaining input capability. This makes the device accessible to users who need hands-free operation such as drivers, workers with tools, and people with disabilities.
3Measurement precision
If face recognition technology is used for interaction, then recognition rate in weak light is improved by using infrared camera, but power consumption increases
Solution Approach 1:
The patent replaces optical-based face recognition with motion sensor-based head movement detection. Instead of using infrared cameras or other optical sensors that consume high power, the system uses a motion sensor to detect head movements and convert them into control signals. This substitution dramatically reduces power consumption while maintaining interaction functionality, making it suitable for battery-powered portable devices.
4Measurement precision
If optical emitters and photo detectors are used to track head movement, then tracking capability is achieved, but eye safety is compromised due to infra light or laser emission
Solution Approach 1:
The patent replaces optical tracking methods that emit infrared light or lasers with a motion sensor-based detection system. The motion sensor detects head movements through mechanical motion detection rather than optical emission, eliminating the harmful light exposure to eyes while maintaining accurate tracking capability. This substitution resolves the safety concern while preserving the functionality of head movement-based interaction.
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
This method provides a natural and convenient way to interact with electronic devices without occupying space, suitable for users who cannot use traditional input methods, with low power consumption and reduced foreign body sensation, integrating user input and output in a single device.
Implementation Method 1
A system using a Bluetooth earphone with a MEMS angular velocity sensor to detect head movements
Data Source
AI summary
A human-machine interaction method, system and apparatus of the present invention enables a user to interact with an electronic device by turning the user's head to implement a mouse's point-and-click functionality. A main characteristic is to detect the user's head rotation (moving direction, displacement and nod/shake one's head action) following the direction of eye watching by adding an angular velocity sensor in an earphone, so as to realize a more natural and convenient human-machine interaction, where you are watching is where the cursor will point, look-and-nod instead of point-and-click with mouse. With the supports of the virtual keyboard on the screen of the electronic device, information can be inputted. Combined with the earphone microphone sound input, it can realize more complicated control combination with head movement input and sound input; making use of the earphone sound output as user output, user input and user output are integrated in one.