Wearable Motion Input Mapping Limb Postures to UI Commands
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Solution Overview
Problem
Smart wearable devices lack an effective one-hand input method for control instructions, particularly in scenarios like riding, one-handed operation, or wearing gloves, where touch input is inconvenient.
Innovation Solution
A control instruction input method and device that form motion state information from limb movements, using sensors to determine stable postures and motion states, mapping these into operating instructions for the user interface, such as scrolling, switching, and clicking, without requiring both hands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If touch input is used for control instructions, then the device can be operated with two hands, but the device cannot be operated conveniently in one-hand scenarios such as riding or wearing gloves
Solution Approach 1:
The patent replaces the mechanical touch input system with a motion recognition system that detects limb movements through sensors. The system identifies motion patterns such as swinging, rotating, or positioning the wearable device, and maps these physical motions to control instructions, enabling operation without direct hand contact with the device surface.
Solution Approach 2:
The patent introduces motion state information as an intermediary between the user's limb movements and the control instructions. Sensors detect limb motion and convert it into motion state data, which then serves as the basis for generating corresponding UI operations, creating a bridge that enables indirect control suitable for one-hand scenarios.
2Measurement precision
If touch gestures are required for all operations, then the interface can be controlled precisely, but operations become impossible or difficult when hands are occupied or disabled
Solution Approach 1:
The patent changes the input parameter from touch position and gesture to motion characteristics such as acceleration, velocity, rotation angle, and time interval. By detecting these motion parameters through sensors and mapping them to control instructions, the system maintains input precision while accommodating various physical conditions including one-hand use and glove wearing.
3Ease of operation
If the device requires two hands for operation, then complex gestures can be performed, but the device cannot be used in scenarios like riding or one-handed loading
Solution Approach 1:
The wearable device leverages the natural movement of the user's limb itself as the input mechanism. The device detects motions of the arm or hand wearing it and automatically interprets these self-generated movements as control commands, eliminating the need for separate control actions and enabling use during natural activities like riding or carrying objects.
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 richer application scenarios for smart wearable devices by allowing one-handed input, enhancing human-computer interaction through limb motion postures that correspond to touch standard instructions, providing finer control and avoiding the need for dual-hand cooperation.
Implementation Method 1
acquiring motion posture data of the screen according to a sensor signal
Data Source
AI summary
A control instruction input method includes forming motion state information of a screen according to a limb movement; and forming an operating instruction of a UI in the screen according to the motion state information. An association between a limb stable posture and a touch standard instruction is established by recognizing the limb stable posture of wearing the smart wearable device. Therefore, the touch gesture input by the touch standard instruction is evolved into the limb motion posture. A cooperation process of both hands is avoided to make application scenarios of wearing the smart wearable device richer. At the same time, a motion process of the existing touch gesture is amplified by the relative large-scale motion state of the limb stable posture to form a finer instruction control process.


