Antardristi™: A Cognitive AI Wearable for Real-Time Contextual Thought Recognition

Antardristi is a next-generation cognitive AI wearable system that enables real-time analysis of human context, attention, and emergent thought patterns through synchronized EEG, camera, and microphone input. This patent covers the architecture, signal processing pipelines, onboard neural inference engine, and privacy-preserving logic that allows the system to operate autonomously — capturing ambient context, recognizing mental intent, and discarding data in a zero-retention pipeline. Key features include: A modular hardware stack combining brainwave sensors, audio-video capture, and inertial units On-device AI model trained on foundation-level neuro-contextual mappings Real-time deletion of video/audio for user privacy Closed-loop behavioral feedback system for cognitive clarity and productivity enhancement Future roadmap: Building sovereign neuro-language models through federated learning This system is designed for professional researchers, neuro-AI developers, mental health tech ventures, and sovereign compute initiatives. Antardristi proposes not just a device — but a platform for the future of internal cognition AI. Intellectual Property: Full technical disclosures available under NDA for investors or R&D partners. This patent publication serves as a formal prior disclosure while legal IP registration is in process.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-02
DOI
https://doi.org/10.5281/zenodo.16729233
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Antardristi™: A Cognitive AI Wearable for Real-Time Contextual Thought Recognition

Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
article

Antardristi™: A Cognitive AI Wearable for Real-Time Contextual Thought Recognition

article en

Abstract

Antardristi is a next-generation cognitive AI wearable system that enables real-time analysis of human context, attention, and emergent thought patterns through synchronized EEG, camera, and microphone input. This patent covers the architecture, signal processing pipelines, onboard neural inference engine, and privacy-preserving logic that allows the system to operate autonomously — capturing ambient context, recognizing mental intent, and discarding data in a zero-retention pipeline. Key features include: A modular hardware stack combining brainwave sensors, audio-video capture, and inertial units On-device AI model trained on foundation-level neuro-contextual mappings Real-time deletion of video/audio for user privacy Closed-loop behavioral feedback system for cognitive clarity and productivity enhancement Future roadmap: Building sovereign neuro-language models through federated learning This system is designed for professional researchers, neuro-AI developers, mental health tech ventures, and sovereign compute initiatives. Antardristi proposes not just a device — but a platform for the future of internal cognition AI. Intellectual Property: Full technical disclosures available under NDA for investors or R&D partners. This patent publication serves as a formal prior disclosure while legal IP registration is in process.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
EEG and Brain-Computer Interfaces
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