Wrist-Wearable Gesture Interpretation via Roll Values
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Solution Overview
Problem
Existing technologies for interpreting digit-to-digit gestures at wrist-wearable devices do not effectively utilize roll values to differentiate gestures, leading to limitations in providing intuitive and rich gesture commands without requiring users to look at the controlling device.
Innovation Solution
The system allows users to perform digit-to-digit gestures while the wrist-wearable device has different roll values, enabling the device to interpret these gestures differently based on the roll values, thereby expanding the range of available gestures and improving user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the wrist-wearable device uses traditional gesture interpretation methods, then the device structure remains simple, but the gesture control versatility is limited
Solution Approach 1:
The gesture control system is segmented into multiple independent components: roll value detection module, pitch value detection module, gesture recognition module, and command mapping module. Each component processes specific information independently, allowing the system to achieve high versatility in gesture control while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces roll and pitch angle dimensions as additional parameters beyond traditional gesture recognition. By incorporating these angular dimensions from the inertial measurement unit, the system transforms two-dimensional gesture recognition into three-dimensional gesture interpretation, enabling a single gesture to map to multiple commands based on device orientation.
2Ease of operation
If users need to look at the controlling device to understand gesture commands, then the device interface remains simple, but the ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically interpreting gestures based on device orientation without requiring user reference to visual feedback. The inertial measurement unit continuously monitors roll and pitch angles, and the gesture recognition system automatically maps gestures to commands based on these angles, eliminating the need for users to look at the device display or indicators.
Solution Approach 2:
The patent changes the operational parameters from visual feedback-dependent to sensor-data-driven. Instead of relying on users to visually identify gesture meanings from display indicators, the system uses roll and pitch angle parameters from the inertial measurement unit to automatically determine gesture intent, thereby improving ease of operation while eliminating information loss.
3Adaptability or versatility
If the device provides a limited set of gestures, then the device complexity remains low, but the adaptability to different control scenarios is reduced
Solution Approach 1:
The inertial measurement unit serves multiple functions: it detects roll angles, pitch angles, and accelerations simultaneously. The gesture recognition system uses these multi-functional sensor data to interpret various gesture types, allowing a single sensor system to support diverse control scenarios without requiring separate specialized sensors for each gesture type.
Solution Approach 2:
The gesture-to-command mapping is made dynamic rather than static. The system continuously adjusts gesture interpretation based on real-time roll and pitch angle changes. A single physical gesture can dynamically map to different commands depending on the device's current orientation, enabling high adaptability without requiring multiple fixed gesture definitions.
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 enables seamless and efficient control of devices using a wrist-wearable device, allowing users to perform various digit-to-digit commands without needing to look at the device, thereby enhancing the man-machine interface.
Implementation Method 1
Inertial measurement units (IMU) s of consumer electronic devices are able to provide yaw, pitch, and roll values for the consumer electronic devices
Data Source
AI summary
A method of interpreting a digit-to-digit gesture based on roll values for a wrist-wearable device is disclosed. The method includes, receiving an indication at a first point in time that a user donning the wrist-wearable device is providing a digit-to-digit gesture in which one of the user's digits touches another of the user's digits without contacting the display of the wearable device. The method further includes, in accordance with a determination that the digit-to-digit gesture is provided while data indicates that the wrist-wearable device has a first roll value, causing a target device in communication with the wearable device to perform a first input command and receiving another indication at a second point in time that is after the first point in time that the user is providing the digit-to-digit gesture again, causing the target device to perform a second input command that is distinct from the first input command.