Mobile Device Personalized Input via Acoustic Motion Signatures
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Solution Overview
Problem
Current mobile devices limit user personalization as they restrict the types of inputs that can trigger specific behaviors, requiring users to follow predefined procedures for functions like password entry or voice commands.
Innovation Solution
The system allows users to create personalized signatures by combining acoustic and non-acoustic inputs, such as voice commands and device motions, which are detected by microphones and sensors like accelerometers and gyroscopes, enabling users to associate these inputs with specific operations on their mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed choices are made as to what functions receive user-defined input, then device complexity is reduced and ease of operation is improved, but user personalization capability deteriorates
Solution Approach 1:
The system dynamically adapts to user preferences by learning from repeated input patterns. When a user consistently provides a specific type of input (e.g., voice commands, gestures) for a particular function, the system automatically associates that input type with the function, enabling personalized operation without requiring predefined configurations or increasing device complexity
Solution Approach 2:
The mobile device performs self-training by automatically analyzing user input patterns and creating personalized associations between input types and functions. The system monitors user behavior, identifies recurring patterns, and autonomously configures personalized operations, eliminating the need for manual setup or complex programming by the user
2Adaptability or versatility
If multiple sensor types are combined for input detection, then adaptability and user personalization are improved, but device complexity increases
Solution Approach 1:
The system employs a universal input detection framework that integrates multiple sensor types (microphones for acoustic input, accelerometer for motion detection, gyroscope for orientation sensing) into a single cohesive processing architecture. This multi-functional approach allows the device to handle various input modalities through unified signal processing and pattern recognition algorithms, achieving high adaptability without proportionally increasing system complexity
Solution Approach 2:
The patent combines data from multiple sensor types into a unified input signature. The system merges acoustic signals, motion data, and orientation information into a composite representation that captures the complete user input pattern, enabling personalized operations through integrated multi-sensor analysis rather than separate processing channels
Data Source
AI summary
Systems and methods for performing personalized operations of a mobile device are provided. An example method includes determining a user-defined signature has been received. The user-defined signature can include a combination of an acoustic input and non-acoustic input. The method can further include performing, in response to the determination, operations of the mobile device, the operations being associated with the user-defined signature. Exemplary acoustic input includes a voice sound with at least one spoken keyword. The spoken keyword is used to identify the operations. Exemplary non-acoustic input includes motions of the mobile device detected by an accelerometer, a gyroscope, and a magnetometer. Exemplary motions include vibrations of the mobile device, tapping the mobile device, rotations of the mobile device, movements of the mobile device as to draw a figure in a space.