Wearable Sensor Data Correlation via Remote Cognitive Assessment

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Solution Overview

Problem

Conventional wearable physical activity trackers only gather and process data within a closed system, lacking the ability to interface with external components or provide insights for further evaluation or improvement, especially when data falls outside defined limits.

Innovation Solution

A system and method that dynamically distributes performance data over a network to a remote computer, where sensor data is processed to generate state data, activating a cognitive assessment module for evaluating cognitive states and correlating physiological and behavioral data to provide comprehensive feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If a wearable physical activity tracker is used to gather and process sensor data, then data tracking capability is improved, but the system remains closed and cannot interface with external components or provide comprehensive evaluation insights

Engineering Contradiction:
Improveinformation completenessVSAvoidsystem openness
Core Design Contradiction:
Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent introduces a remote computer as an intermediary component that receives sensor data from the wearable device via communication channels. This intermediary enables the closed wearable system to interface with external processing capabilities, allowing comprehensive data analysis and integration with cognitive assessment modules while maintaining the wearable device's portability and simplicity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If sensor data is merely tracked and displayed without further evaluation, then device complexity is reduced, but no intelligent action or performance improvement insights are provided

Engineering Contradiction:
Improveoperational simplicityVSAvoidevaluation insight
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system is segmented into distinct functional modules: the wearable sensor device for data collection, the communication interface for data transmission, and the remote computer with cognitive assessment module for intelligent analysis. This segmentation allows the wearable device to remain simple and easy to operate, while the remote processing handles the complex evaluation and provides actionable performance insights.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If cognitive assessment module is activated to evaluate cognitive state, then assessment comprehensiveness is improved, but system complexity and processing requirements increase

Engineering Contradiction:
Improveassessment accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The remote computer serves as an intermediary that handles the complex cognitive assessment processing, allowing the wearable device to remain relatively simple. The remote system receives raw sensor data, activates the cognitive assessment module, and processes the information to generate accurate performance evaluations and readiness assessments, thereby achieving high measurement precision without significantly increasing the complexity of the wearable device itself.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10376196B2Multi-symptom toolkit for evaluating readiness
Publication Date: 2019.08.13 ANTHROTRONIX
  • US10376196B2 patent drawing
  • US10376196B2 patent drawing
  • US10376196B2 patent drawing

AI summary

Embodiments of the invention relate to correlation of physiological data from two or more sources in real-time. As data is gathered from one or more remote physiological sensors, evaluation of associated physiological data takes place in real-time. The sensor data is correlated with other forms of data including objective physiological data, subjective physiological data, cognitive data, and/or quantitative input for multi-variate data analytics to assess and correlate the data. Alerts are generated, applications are activated, and windows are created to support the correlation and associated communication.