Wearable Gesture Power Management via Sensor Integration
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Solution Overview
Problem
Current power management systems for wearable devices are inefficient in controlling power consumption, particularly due to challenges in accurately detecting gestures with 3-axis accelerometer motion sensors and the spatial separation of sensors, which affects the unified motion detection and display management.
Innovation Solution
A gesture-based power management system that establishes a mapping relationship between pre-defined gestures and power management functions, using a combination of sensors to detect specific gestures like a lookup gesture to control the display screen's power state, thereby optimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If motion sensors (accelerometers and gyroscopes) are separated into two distinct units, then device layout flexibility is improved, but measurement precision deteriorates due to spatial separation between sensors
Solution Approach 1:
The patent combines the accelerometer and gyroscope into a single integrated sensor unit, eliminating the spatial separation between the two sensor types. This integration ensures that both sensors are positioned at the same location, providing unified and accurate motion detection for gesture recognition while maintaining device layout flexibility.
2Ease of operation
If the display screen is kept on continuously, then user interaction convenience is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary gesture detection using motion sensors before activating the display screen. When a specific gesture pattern is detected, the system proactively turns on the display in anticipation of user interaction, rather than waiting for a touch input. This allows the display to remain off most of the time, significantly reducing power consumption while ensuring it is available when needed.
Solution Approach 2:
The system continuously monitors motion sensor data and provides feedback by automatically activating the display when gesture patterns indicate user intent. This feedback mechanism ensures the display is turned on only when necessary, balancing user convenience with power savings by responding to subtle motion cues rather than keeping the display permanently on.
3Measurement precision
If gesture detection sensitivity is increased, then user intention recognition is improved, but false detection rate increases
Solution Approach 1:
The system uses both accelerometers and gyroscopes together for gesture detection, combining the strengths of both sensor types. The accelerometer detects linear motion and the gyroscope detects rotational motion, and by processing both data streams together, the system achieves high sensitivity for recognizing diverse gesture patterns while maintaining reliability through multi-sensor verification.
Solution Approach 2:
The system dynamically adjusts detection parameters such as sensitivity thresholds and time windows based on the specific gesture being detected. By changing these parameters adaptively, the system maintains high sensitivity for accurate gesture recognition while reducing false detections through context-aware threshold adjustment and temporal filtering of sensor data.
Data Source
AI summary
A gesture based power management method for a wearable device is provided. The method includes establishing a mapping relationship between a set of pre-defined gestures including at least a lookup gesture and a set of power management functions including at least a function for turning on a display screen of the wearable device. The method also includes receiving motion information from a plurality of sensors and determining whether the display screen of the wearable device is on. Further, the method includes counting down a timeout counter when the display screen of the wearable device is on, determining whether the motion information indicates a specific pre-defined gesture when the display screen of the wearable device is off, and performing a power management function corresponding to the specific pre-defined gesture when the motion information indicates the specific pre-defined gesture.


