Dynamic Frame Rate Control for Active Reflected Wave Detectors
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Solution Overview
Problem
Existing reflected-wave based systems for monitoring a person's state in a designated space consume significant power, making them less viable for applications requiring low power consumption.
Innovation Solution
A method is implemented to control an active reflected wave detector, initially operating at a higher frame rate to maximize measurements, and if predefined criteria are met, maintaining this rate; otherwise, switching to a lower frame rate to conserve power and ensure accurate classification of a person's state, with the option to deactivate the detector if tracking performance metrics are not met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the active reflected wave detector operates at a higher frame rate to maximize measurements, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the frame rate of the active reflected wave detector based on real-time assessment of measurement quality. Initially operating at a higher frame rate to accumulate sufficient measurements, the system switches to a lower frame rate once predefined criteria are met, thereby optimizing the balance between measurement precision and power consumption
Solution Approach 2:
The invention changes the operational parameter (frame rate) of the active reflected wave detector from a static high value to a dynamic value that transitions from high to low. This parameter change allows the system to achieve sufficient measurement precision early in the monitoring period while conserving power during extended monitoring operations
2Reliability
If the active reflected wave detector operates continuously at a high frame rate, then reliability of classification is improved, but loss of energy increases
Solution Approach 1:
The system performs preliminary high-rate measurements for a defined initial period to accumulate sufficient data for reliable classification. Once the predefined criteria are satisfied, the system transitions to lower frame rate operation, having already secured the necessary measurement foundation for accurate state determination
Solution Approach 2:
The monitoring system employs periodic action by alternating between high frame rate operation (initial period) and low frame rate operation (extended period). This periodic pattern ensures reliable classification during the critical initial phase while minimizing energy loss during the extended monitoring phase
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces power consumption while ensuring reliable classification of a person's state, particularly in detecting falls, by optimizing frame rates and activating/deactivating the detector based on performance metrics, thus enhancing the system's viability in power-constrained applications.
Implementation Method 1
controlling an active reflected wave detector to measure wave reflections from an environment
Data Source
AI summary
A method comprising: controlling an active reflected wave detector to measure wave reflections from an environment using a first frame rate to accrue measured wave reflection data for a classifier, after a first amount of time, determining whether a predefined criteria is satisfied, wherein satisfaction of the predefined criteria is indicative of the classifier being likely to successfully identify a fall status of a person in the environment by a second amount of time of accruing measured wave reflection data from the active reflected wave detector, the second amount of time being greater than the first amount of time; in the event that the predefined criteria is not met, the method comprising controlling the active reflected wave detector to accrue measured wave reflection data at a lower second frame rate for classifying the fall status based on measured wave reflection data accrued at the lower second rate.