Connected Glasses with Local Processing for Real-Time Behavioral Monitoring
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Solution Overview
Problem
Current portable devices for behavioral monitoring, such as connected glasses, lack real-time access to data and do not provide analyzed information, relying on external devices or servers for data retrieval and alerts, and often fail to account for individual-specific behavior patterns.
Innovation Solution
A portable device in the form of connected glasses with integrated sensors for measuring heart rate, body temperature, head movements, and environmental factors, capable of real-time data analysis and alerting the user through vibration, light, or visual signals, using a combination of LEDs, photodiodes, accelerometers, gyroscopes, and communication modules for wireless data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored on external servers or boxes, then data storage capacity is improved, but real-time access and immediate alerting capability deteriorates
Solution Approach 1:
The patent implements a nested architecture where local memory and processing units are embedded within the wearable device itself, while external servers provide additional storage capacity. This allows the device to maintain real-time access to critical data through local resources while leveraging external resources for long-term storage, resolving the contradiction between storage capacity and real-time access speed.
2Measurement precision
If multiple sensors are integrated into the device, then measurement precision and data quality are improved, but device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor modules that can detect multiple behavioral parameters (head movements, eye blinks, facial expressions) using integrated sensor arrays. This approach achieves high measurement precision for various behavioral indicators while reducing overall device complexity by consolidating multiple sensing functions into unified modules rather than separate components.
Solution Approach 2:
The patent combines multiple sensing functions (accelerometry, gyroscope, optical detection) into integrated sensor modules that share common processing units and power management systems. This merging of functions achieves comprehensive behavioral monitoring with high precision while minimizing the increase in device complexity through shared hardware resources.
3Power
If data analysis is performed externally on servers, then processing power is improved, but response time and immediate alerting capability deteriorates
Solution Approach 1:
The patent implements segmented data processing where critical real-time analysis (detecting dangerous behaviors like drowsiness or distraction) is performed locally on the wearable device using embedded processing units, while non-critical data is transmitted to external servers for comprehensive analysis. This segmentation enables immediate alerting for safety-critical events while leveraging external processing power for deeper insights.
Solution Approach 2:
The patent pre-loads behavioral baseline data and analysis algorithms into the device's local memory and processing units during manufacturing or initial setup. This preliminary action enables the device to perform real-time comparison of current behavior against stored baselines without requiring continuous external communication, achieving both high processing speed for immediate alerts and utilizing external servers for periodic updates and comprehensive analysis.
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
Enables immediate and personalized monitoring of an individual's behavior, providing timely alerts and analysis directly to the user, enhancing safety in situations like driving or detecting health anomalies, while also allowing remote data storage and analysis.
Implementation Method 1
The means of measuring physical data relating to oximetry and heart rate include, for example, an optical sensor composed of LEDs and photodiodes
Implementation Method 2
Body temperature is measured using a temperature sensor near or in contact with the skin surface
Implementation Method 3
The means of measuring physical data relating to the linear movements and rotational movements of the individual's head comprise a three-axis accelerometer and a three-axis gyroscope
Data Source
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AI summary
Device for behavioural monitoring and measuring of physical parameters of an individual, of the type to be worn on the head, comprising: a support such as a spectacle frame; - means for detecting and measuring parameters representative of the movements and positions of the eyelids and the eyes of the individual, and capable of producing measurements; characterised in that said parameters are representative of sleep onset and/or winks (voluntary) and/or involuntary eyelid (blinking) movements, and in that it further comprises: - means for processing and comparing said measurements with threshold and/or reference values; - means for transmitting the results of said comparison; - means for alerting, displaying, processing, storing, etc., activated in accordance with said results.