Wrist Motion Detection for Hands-Free Smartwatch Audio Playback
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Solution Overview
Problem
Existing wrist-worn devices, such as smartwatches, require users to manually tap buttons to play audio messages, which is inconvenient when hands are occupied, leading to poor operation experience.
Innovation Solution
A wrist-worn device control method that uses motion data, including angular velocity and acceleration information, to identify when the user's hand is moving towards their ear, allowing automatic playback of media without the need for manual button presses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually taps a button on the wrist-worn device to play audio messages, then the playback can be controlled, but the user's hands are occupied causing inconvenience
Solution Approach 1:
The patent replaces the mechanical button-tapping operation with motion sensing detection. The wrist-worn device uses motion sensors to detect characteristic movements (such as raising the wrist to ear level) and automatically triggers playback without requiring manual button presses. This substitutes the mechanical interaction system with a sensor-based automatic detection system, enabling hands-free operation while maintaining playback control functionality
Solution Approach 2:
The wrist-worn device performs self-service by automatically detecting the user's intent to play audio messages through motion patterns and executing playback without external manual input. The device monitors its own motion state, identifies predefined gestures, and autonomously controls media playback, eliminating the need for the user to manually operate buttons during hands-occupied scenarios
2Ease of operation
If the user touches the screen with a finger to operate the device, then control is achieved, but content on the screen is blocked
Solution Approach 1:
The patent replaces direct finger contact with the screen (mechanical touch input) with motion-based sensing. Instead of requiring the user to physically touch and block the screen, the device detects motion patterns through sensors and interprets them as control commands. This substitution eliminates the physical barrier of finger contact while preserving the control functionality, allowing screen content to remain visible throughout the interaction
3Adaptability or versatility
If motion-based control is implemented, then hands-free operation is enabled, but the complexity of motion detection algorithms increases
Solution Approach 1:
The patent simplifies motion detection by changing the parameters from analyzing complex continuous motion trajectories to detecting specific discrete motion thresholds and patterns. The system monitors key parameters such as acceleration magnitude, velocity thresholds, and orientation angles, comparing them against predefined ranges to identify gestures like raising the wrist to ear level. This parameter-based approach reduces computational complexity while maintaining accurate gesture recognition for hands-free control
Data Source
AI summary
A wrist-worn device control method is disclosed. The method includes: collecting first motion data of a wrist-worn device, where the first motion data includes angular velocity information and acceleration information of the wrist-worn device; and identifying, based on the first motion data of the wrist-worn device, that the wrist-worn device changes from a first posture to a second posture, and playing, by the wrist-worn device, media information, where the media information is at least one of a speech message, a text message, or incoming call information that are received by the wrist-worn device, and information displayed by the wrist-worn device, and the second posture is a posture in which a hand of a user wearing the wrist-worn device is close to an ear of the user. Therefore, a message can be played without occupying two hands of the user, interaction is convenient, and user experience is good.