Onboard Sensor Sleep State Adjustment for Computing Devices
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Solution Overview
Problem
Conventional computing devices experience lengthy delays in re-entering an awake state due to the time required to power on various components from sleep states, which affects user convenience and conflicts with energy efficiency regulations.
Innovation Solution
The use of onboard sensors, such as proximity, light, accelerometers, and image sensors, to detect user presence and adjust sleep states, allowing for quicker restoration to an active state while conserving power by scheduling deep and light sleep signals based on historical user activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the system transitions to deeper sleep states to save power, then energy efficiency is improved, but the time required to re-enter awake state increases
Solution Approach 1:
The system performs preliminary actions by keeping certain sensors and components in a partially awake state even during deep sleep, enabling faster wake-up. The patent applies this by maintaining sensor readiness and using predictive algorithms to anticipate wake-up needs, thus reducing the actual wake-up time penalty while still achieving deep power savings.
Solution Approach 2:
The patent implements dynamic sleep state adjustment by continuously monitoring sensor data and user behavior patterns to determine the optimal sleep state. The system dynamically transitions between deep and shallow sleep states based on real-time conditions, balancing power savings with wake-up speed requirements.
2Measurement precision
If the system uses multiple sensors to detect user presence, then accuracy of sleep state determination is improved, but device complexity increases
Solution Approach 1:
The patent segments the sensor system into functional groups (proximity sensors, light sensors, accelerometers, image sensors) and activates different segments based on contextual needs. This segmentation allows the system to achieve high detection accuracy through selective sensor combinations rather than continuously activating all sensors, thus managing complexity.
Solution Approach 2:
The system applies partial action by activating only the necessary subset of sensors for each detection task rather than using all available sensors simultaneously. The patent uses this principle to balance detection accuracy requirements with system complexity, activating additional sensors only when needed based on predictive models and current context.
3Loss of energy
If the system implements aggressive power saving measures, then energy efficiency is improved, but user convenience deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where sensor data and user behavior patterns continuously inform sleep state decisions. The system monitors user interactions and adjusts sleep states accordingly, ensuring that aggressive power saving measures are applied only when user convenience is not compromised, thus maintaining ease of operation.
Solution Approach 2:
The system performs self-service by using predictive algorithms to anticipate user needs and automatically adjusting sleep states without user intervention. The patent applies this by learning user behavior patterns and autonomously making informed decisions about when to enter deep sleep and when to remain in lighter states, balancing power saving with convenience.
Data Source
AI summary
This application relates to techniques that adjust the sleep states of a computing device based on user proximity detection procedures. The technique includes detecting a first pattern, using a first subset of sensors of one or more sensors coupled to the computing device, to determine if the object is proximate to the computing device. Provided the first pattern is not indicative of the object being proximate to the computing device, the technique detects a second pattern, using a second subset of sensors of the one or more sensors, to determine if the object is proximate to the computing device. Furthermore, provided either the first pattern or the second pattern is indicative of the object being proximate to the computing device and provided a first portion of a computer system within the computing device is operating within a low-power sleep state, the technique causes the first portion to enter into a high-power sleep state.