The Somatic Memory Extraction โ€” Wearable Haptic Telemetry, Biometric Sentiment Mining, and the Enclosure of Pre-Linguistic Human Emotion

As consumer digital platforms saturate external attentional real estate, capital allocation has pivoted inward toward the final uncommodified frontier: the autonomous human nervous system. This monograph analyzes "The Somatic Memory Extraction": the systemic failure mode wherein the continuous harvesting of wearable haptic telemetry, involuntary nervous system responses, micro-saccadic eye movements, and galvano-skin resistance converts pre-linguistic human emotion, somatic memory, and subconscious stress into behavioral commodities. We examine how sub-linguistic invariant mapping bypasses the prefrontal cortical filter, turning autonomic nervous system (ANS) responses directly into predictive behavioral feature vectors ๐’โก(๐‘ก). We construct a non-linear differential model of psychological autonomy decay (๐’œโก(๐‘ก)โ†’0) and establish non-negotiable defensive invariants (Inviolability of Sub-Linguistic Telemetry, Local-Only Edge Bio-Compute, and Mandatory Biometric Noise Invalidation Rights) to defend the internal human sanctuary and preserve cognitive sovereignty.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23943260
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

The Somatic Memory Extraction โ€” Wearable Haptic Telemetry, Biometric Sentiment Mining, and the Enclosure of Pre-Linguistic Human Emotion

Kanna Amresh
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

The Somatic Memory Extraction โ€” Wearable Haptic Telemetry, Biometric Sentiment Mining, and the Enclosure of Pre-Linguistic Human Emotion

Kanna Amresh
article en

Abstract

As consumer digital platforms saturate external attentional real estate, capital allocation has pivoted inward toward the final uncommodified frontier: the autonomous human nervous system. This monograph analyzes "The Somatic Memory Extraction": the systemic failure mode wherein the continuous harvesting of wearable haptic telemetry, involuntary nervous system responses, micro-saccadic eye movements, and galvano-skin resistance converts pre-linguistic human emotion, somatic memory, and subconscious stress into behavioral commodities. We examine how sub-linguistic invariant mapping bypasses the prefrontal cortical filter, turning autonomic nervous system (ANS) responses directly into predictive behavioral feature vectors ๐’โก(๐‘ก). We construct a non-linear differential model of psychological autonomy decay (๐’œโก(๐‘ก)โ†’0) and establish non-negotiable defensive invariants (Inviolability of Sub-Linguistic Telemetry, Local-Only Edge Bio-Compute, and Mandatory Biometric Noise Invalidation Rights) to defend the internal human sanctuary and preserve cognitive sovereignty.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
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The Somatic Memory Extraction โ€” Wearable Haptic Telemetry, Biometric Sentiment Mining, and the Enclosure of Pre-Linguistic Human Emotion โ€” Kanna Amresh ยท Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS