Headset Wi-Fi Component Scheduling for Battery Life
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Solution Overview
Problem
Head-mounted devices for AR, VR, and MR systems experience reduced battery life due to components remaining active even when not in use, leading to user experience disruptions.
Innovation Solution
Implementing a scheduling method that detects specific statuses to disable and re-enable components such as Wi-Fi, sensors, and communication modules based on predefined time intervals, ensuring optimal battery life without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If components are activated at all times to ensure system readiness and responsiveness, then system reliability and user experience are improved, but battery life is reduced due to continuous power consumption
Solution Approach 1:
The patent implements periodic activation of components based on scheduled time intervals. The processor disables components after detecting inactivity for a first time interval, re-enables them for a second time interval, and repeats this cycle. This periodic on-off pattern reduces continuous power consumption while maintaining system readiness during active intervals, directly resolving the contradiction between reliability and energy use.
2Use of energy by moving object
If components are disabled to conserve battery power, then energy consumption is reduced, but system responsiveness and reliability deteriorate when user interaction is needed
Solution Approach 1:
The system performs preliminary actions by detecting user presence or interaction cues before actually needing the component. The processor monitors for user interaction and proactively activates components before they are needed, ensuring immediate responsiveness when the user actually interacts with the device. This eliminates the lag that would occur if components were only activated after being disabled for too long.
Solution Approach 2:
The patent implements dynamic component management where activation and deactivation timing is not fixed but adapts based on detected user behavior and interaction patterns. The time intervals for disabling and re-enabling components are adjusted dynamically based on system state and user activity, allowing the system to optimize between power savings and responsiveness in real-time conditions.
3Reliability
If components remain active during charging or idle periods to maintain system readiness, then user engagement is maintained, but unnecessary power consumption increases
Solution Approach 1:
The system provides self-service by automatically managing component activation states based on its own detected conditions. The processor monitors system state (charging, idle, user presence) and autonomously decides when to activate or disable components without requiring external control. This self-managed approach optimizes power consumption during charging and idle periods while maintaining necessary system availability, resolving the contradiction between energy loss and reliability.
Data Source
AI summary
Systems and methods are disclosed for scheduling component activation. A computer-implemented method may include: detecting a first status of a head-mounted device with one or more physical computer processors; after a first time interval since detecting the first status, disabling a Wi-Fi component of the head-mounted device for a second time interval with the one or more physical computer processors; and after the second time interval, activating the Wi-Fi component for a third time interval with the one or more physical computer processors.