Wearable Activity Detection via Orientation and Handedness
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Solution Overview
Problem
Existing activity tracking devices often require specific orientations to accurately detect user activity, limiting user flexibility and requiring manual input for device orientation confirmation.
Innovation Solution
The system determines device orientation and user handedness using accelerometer data and voice signals, allowing for automatic detection and communication of device state to applications, enabling accurate activity tracking without specific user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device requires a particular orientation to accurately detect user activity, then measurement precision is improved, but device complexity and ease of operation deteriorate due to manual orientation confirmation requirements
Solution Approach 1:
The system automatically detects device orientation and user handedness using accelerometer data and voice signals, eliminating the need for manual user input. The device self-determines its spatial configuration and communicates this state to applications, allowing the system to serve itself rather than requiring user configuration.
Solution Approach 2:
The patent replaces manual mechanical orientation confirmation with automated sensor-based detection. Accelerometers and voice signal processing substitute for manual user actions, automatically determining device orientation and handedness through physical measurements rather than user input.
2Device complexity
If the device requires manual input for orientation confirmation, then device complexity is reduced, but productivity and ease of operation worsen due to additional user steps
Solution Approach 1:
The system performs preliminary detection of device orientation and handedness automatically during device initialization or before activity tracking begins. By determining spatial configuration in advance through sensor data and voice signals, the system eliminates the need for users to manually configure these parameters during setup.
Solution Approach 2:
The device automatically determines its own orientation and handedness characteristics without requiring user intervention. The system uses its built-in sensors and processing capabilities to self-configure, improving setup productivity while managing complexity through automated algorithms.
3Measurement precision
If the device limits wear flexibility to ensure accurate detection, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The system dynamically adapts to different device orientations and wear positions by automatically detecting the current configuration using accelerometers and voice signals. Rather than requiring a fixed wear position, the system adjusts its activity detection algorithms based on the detected orientation and handedness, allowing flexible wear while maintaining detection accuracy.
Solution Approach 2:
The patent changes the operational parameters of the activity detection system based on detected device orientation and handedness. By modifying detection thresholds and algorithms according to the determined spatial configuration, the system maintains measurement precision across various wear positions and orientations.
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 approach enhances user experience by allowing flexible device wear and automatic activity detection, improving the accuracy and convenience of activity tracking without the need for manual orientation confirmation.
Implementation Method 1
determine accelerometer data during a time period beginning at the first time
Implementation Method 2
determine voice signal data indicating a voice utterance by the user
Data Source
AI summary
Devices, systems, and methods are provided for activity detections based on device orientation and user handedness. A method may include determining, by a wearable device, first and second accelerometer data, the first accelerometer data associated with a first axis, and the second accelerometer data associated with a second axis perpendicular to the first axis. The method may include determining a first mean acceleration value based on the first accelerometer data, and determining a second mean acceleration value based on the second accelerometer data. The method may include determining, based on the first mean acceleration value and the second mean acceleration value, an orientation of the wearable device, the orientation indicative of a user wearing the wearable device on a right limb or a left limb. The method may include sending an indication of the orientation to an application of the wearable device.


