Mobile Device State Transition via Sensor-Based Intent Detection
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Solution Overview
Problem
Mobile electronic devices require users to manually transition between operation states (power-saving, input-lock, and security-lock states), which can be inconvenient and time-consuming, especially when switching from an inactive to an active state.
Innovation Solution
The device employs various sensors (touch, accelerometer, proximity, light, and imaging sensors) to detect user intentions and automatically adjust its operation state, such as transitioning from power-saving to normal operation by detecting user interaction, and verifying user identity for security-lock state changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the mobile device enters power-saving or locked states to reduce power consumption and enhance security, then energy efficiency and security are improved, but user convenience and activation speed deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-authenticating users through biometric sensors (fingerprint, face recognition) before the device enters locked states. When the authenticated user picks up the device, the system has already prepared the authentication state, enabling immediate transition to active mode without requiring manual password entry or prolonged authentication sequences.
Solution Approach 2:
The device implements self-service through automatic state transition based on sensor detection. The system autonomously monitors device orientation, proximity sensors, and biometric data to automatically determine when to wake from sleep mode or unlock, eliminating the need for manual user actions to transition between power-saving and active states.
2Reliability
If the mobile device requires manual transitions between operation states, then security control is maintained, but activation time and user effort increase
Solution Approach 1:
The system performs preliminary authentication using biometric sensors before the device enters locked states. When the authenticated user picks up the device, the system has already prepared the authentication state, enabling immediate transition to active mode without requiring manual password entry or prolonged authentication sequences.
Solution Approach 2:
The patent replaces manual mechanical interactions (physical button presses, keyboard typing) with sensor-based detection systems. Accelerometers, proximity sensors, and biometric sensors automatically detect user presence and intent, substituting the mechanical authentication process with automated sensor-driven state transitions that maintain security while reducing activation time.
3Extent of automation
If the device uses multiple sensors to detect user intention, then automation accuracy is improved, but device complexity increases
Solution Approach 1:
The system implements multi-functionality by using a single integrated sensor fusion module that processes data from multiple sensors (accelerometers, proximity sensors, biometric sensors) through a unified algorithm. This universal processing approach enables the same hardware infrastructure to support multiple detection functions (device pickup, user authentication, orientation detection) without proportionally increasing system complexity.
Data Source
AI summary
In one embodiment, while a mobile electronic device is in a first operation state, it receives sensor data from one or more sensors of the mobile electronic device. The mobile electronic device analyzes the sensor data to estimate a current intention of a user with respect to the mobile electronic device; and transition from the first operation state to a second operation state based on the current intention of the user with respect to the mobile electronic device.