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March 2, 20260 citationsOpen Access

External Wearable Device for Controlled Data Capture and AI Integration – Blueprint 24x24 TCF/TFB

CMChristian Montgomery

Key Points

  • This work aims to develop a wearable device that collects physiological data and integrates it with an AI system while maintaining user privacy.
  • Designed an external wearable device for wrist use to capture physiological signals like heart rate and movement metrics.
  • Developed integration with Blueprint 24x24 TCF/TFB framework and Anonymo AI system.
  • Implemented user-activated control for data capture, focusing on privacy and consent.
  • Ensured ethical compliance and data security in system communication.
  • Device provides context-specific physiological data only when activated by the user.
  • Enhances AI's ability to interpret real-time user states during various tasks.
  • Enables multi-angle analysis of behavioral patterns without continuous monitoring.
  • Maintains alignment with ethical guidelines and legislation concerning data privacy.

Abstract

This work presents an innovative external wearable device designed to integrate with theBlueprint 24x24 TCF/TFB framework and Anonymo AI system. The device, intended to beworn on the wrist, captures selective physiological signals such as heart rate and movementmetrics. It communicates securely with the AI framework to provide context-specific inputonly when activated by the user, ensuring data privacy, user consent, and controlledobservation. The device is not a continuous monitoring system; it functions as a controlled, temporaryinterface that supplements the AI’s understanding of behavioral patterns, allowing multiangle analysis without infringing on personal privacy. Its signals feed directly into specificmodules and submodules of the Blueprint system, maintaining alignment with theestablished operational logic and safeguarding ethical and legislative compliance.This concept enables the AI to better interpret real-time user states during cognitive,meditative, or interactive tasks within the framework, enhancing precision in behavioralpattern recognition while ensuring complete transparency and control for the user. Blueprint 24x24, TCF, TFB, Anonymo AI, wearable device, physiological monitoring,controlled AI input, privacy-preserving, behavioral pattern recognition, multi-angleobservation, cognitive framework, ethical AI integration, user-consent based AI, modular AIsystem, neuroplasticity, submodules, secure data capture Authors / Creators:Christian Montgomery – ORCID: 0009-0009-5364-249X

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Cite This Study

Christian Montgomery (2026) studied this question.

synapsesocial.com/papers/69a52e75f1e85e5c73bf21f5https://doi.org/10.5281/zenodo.18811235
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