Wearable Device Dynamic Resource Allocation
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Solution Overview
Problem
Wearable devices face challenges in balancing required functionality with limited operational resources due to space, power, and design constraints, making it difficult to efficiently manage power consumption and allocate resources based on wear status.
Innovation Solution
Implementing processors in wearable devices to detect wear status and dynamically allocate resources such as memory and power supply among functions, including selecting appropriate firmware configurations, to optimize resource usage and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If resources are allocated to multiple functions simultaneously, then functionality is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic resource allocation where the processor adjusts firmware configuration based on detected wear status. When the wearable device is detected as being worn, resources are allocated to enable multiple functions; when not worn, resources are reallocated or reduced, creating a dynamic adaptation between functionality and power consumption
Solution Approach 2:
The system changes operational parameters by selecting different firmware configurations based on wear status detection. This parameter change allows the device to transition between different functional states, optimizing the balance between versatility and energy usage
2Productivity
If more operational resources are provided, then device performance is improved, but device size increases
Solution Approach 1:
The processor dynamically adjusts resource allocation based on wear status detection. Full operational resources are activated only when the device is detected as being worn, while fewer resources are maintained when not worn, allowing high performance capability without permanently requiring the physical infrastructure for maximum resource deployment
Solution Approach 2:
The same hardware resources serve multiple functions that are activated conditionally based on wear status. This multi-functionality approach allows the device to have access to comprehensive resources when needed without permanently dedicating physical space for all possible functions simultaneously
3Use of energy by moving object
If resources are allocated based on wear status, then power consumption is optimized, but device complexity increases
Solution Approach 1:
The processor automatically detects wear status and autonomously selects appropriate firmware configurations without requiring external intervention or complex user management. This self-service approach simplifies the user experience while implementing sophisticated resource allocation internally
Solution Approach 2:
The system implements a feedback loop where wear status is continuously detected and this information feeds back to the processor, which then adjusts resource allocation accordingly. This closed-loop control optimizes power consumption while managing complexity through systematic feedback-based decision making
Data Source
AI summary
A wearable device, comprising: one or more processors configured to: detect a wear status of the wearable device; and in response to the wear status, allocate resources of the wearable device to one or more functions of the wearable device.