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 ๐โก(๐ก). We construct a non-linear differential model of psychological autonomy decay (๐โก(๐ก)โ0) 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.
Authors
- Kanna Amresh (ORCID: https://orcid.org/0009-0000-6944-6682)
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
- 0.00