Wearable Device Power Conservation via Dynamic State Adjustment
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Solution Overview
Problem
Wearable devices face challenges in conserving battery life while continuously collecting and processing sensor data, especially as user states change between sleep, sedentary, and active modes.
Innovation Solution
The wearable device apparatus dynamically adjusts its power consumption by transitioning components between active and low power states, adjusting sensor data sampling and processing frequencies, and managing wireless transmission based on the user's determined state, such as increasing buffer size during sleep and reducing data transmission during sedentary periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the wearable device continuously collects and processes sensor data at high frequency, then the measurement precision and productivity are improved, but the use of energy increases significantly
Solution Approach 1:
The patent implements dynamic adjustment of sensor sampling rates and data processing frequencies based on detected user states. During sleep states, sampling rates are reduced to conserve battery, while during active states, higher sampling rates maintain measurement precision. This dynamic adaptation resolves the contradiction by making performance parameters variable rather than fixed.
Solution Approach 2:
The system changes operational parameters (sampling frequency, processing intensity, transmission frequency) based on user state detection. Buffer sizes are dynamically adjusted, and data aggregation strategies change according to whether the user is sleeping, sedentary, or active, allowing the device to optimize the balance between measurement precision and energy consumption.
2Loss of information
If the device increases data transmission frequency to portable devices, then the loss of information is reduced, but the use of energy and loss of time increase
Solution Approach 1:
The patent implements preliminary actions by pre-processing and aggregating sensor data into buffers before transmission. Data is prepared and staged in advance during low-power states, then transmitted in batches when appropriate. This reduces the frequency of transmission events while ensuring data completeness, resolving the contradiction between information loss and energy consumption.
Solution Approach 2:
The patent introduces data buffers and aggregation mechanisms as intermediaries between sensor collection and wireless transmission. These intermediaries decouple the continuous data generation from periodic transmission events, allowing the system to maintain information completeness while reducing transmission frequency and associated energy costs.
3Ease of operation
If the wearable device maintains all components in active state, then the ease of operation and productivity are improved, but the duration of action decreases
Solution Approach 1:
The patent segments the device into independent power domains, allowing different components (sensors, processors, wireless transmitters, displays) to be independently controlled. During sleep states, non-essential components are powered down while essential monitoring continues. This segmentation enables the device to maintain operational readiness for critical functions while extending battery life by disabling non-critical components.
4Use of energy by moving object
If the device reduces processing frequency to conserve power, then the use of energy is reduced, but the productivity and loss of time increase
Solution Approach 1:
The patent implements periodic processing cycles where data is collected continuously at reduced frequency during low-power states, then processed in periodic batches when the device transitions to active states or when buffer thresholds are reached. This periodic action pattern reduces average power consumption while maintaining overall productivity through batch processing.
Data Source
AI summary
Described are apparatus, systems, and methods that are operable to conserve battery power of a wearable device by monitoring a state of the user wearing the wearable device and adjusting power state of one or more components of the device based on the determined user state and/or altering a wireless transmission of sensor data collected by the wearable device from the wearable device to a portable device associated with the user. For example, if it is determined that the user is in a sleep state, the wireless connection between the wearable device and the portable device may be terminated, the wireless transmitter and the processor transitioned to a low power state, and sensor data stored in a buffer memory of the wearable device until a defined period of time before the user exits the sleep state and/or upon satisfaction of a buffer usage threshold.


