5. Technical Architecture

5.1 Principles

Device: first & minimal necessary: Collect, de-identify, and featurize on device/edge; avoid cloud raw sensitive streams by default.

Revocable & auditable: Fine-grained consent by modality/use/region/time; one-click revocation; full-chain logs and third-party audit hooks.

Quality-first: Q pipeline gates data; reward non-redundant and real uplift; anti-abuse by default.

Verifiable & minimal disclosure: Capabilities expressed via GAEA Certification and VC; external checks reveal only necessary fields; CRL supported.

Open interop: Standardized SDKs/APIs, credentials, and settlements; compatible with mainstream chains and future GAEA Chain with minimal coupling.

Compliance & RWA: Under compliance only, map access/use/revenue rights into permissioned assets; avoid securitization promises or over-financialization.

5.2 Overall Architecture

A. Sensing & Consent (device/multi-device/client)

Consent center; capture/preprocess SDKs (voice/text/physiology) with local filtering/denoising/featurization; breakpoint resume & caching; individual emotional baselines (read-aloud + self-report + HRV/EDA/PPG).

B. Edge Collaboration

Near: edge inference & caching for emotional coordinates/CI and policy candidates; FL orchestration with secure aggregation; DP receipts and drift monitoring; TEE/container isolation and hardware roots of trust.

C. C. GE Capability Layer (cloud/center)

Q* Quality Pipeline (authenticity, continuity, cross-modal consistency, host stability, scarcity); multimodal training; sub-population/adapter personalization; online fine-tune and importance sampling; offline/online evaluation → EC grades + validity; Profiles/EMOCOORDS/DECISIONS services export minimal-disclosure profiles and strategies.

D. Value & Trust (chain/credential/settlement/RWA)

Certification & Credentials: GAEA Certification + GAEA Test results as VCs; on-chain hashes/states (valid/expired/revoked), selective disclosure.

VDL: Map real uplift to pricing curves and sharing; anchor settlement abstracts on-chain.

RWA mapping:

- LAT (License-Access Token): time-scoped dataset access license.

- MLN (Model License Note): usage license + revenue parameters for a model version.

- DCR (Data Contribution Receipt): SBT, non-transferable; for revenue share & governance weight.

- RSN (Revenue Sharing Note): in compliant regions, map verifiable cashflows to allocation notes.

GAEA Certification (Capability & Boundary)

Positioning: Evaluate & declare verifiable emotional capability, safety boundaries, and applicable scopes; not a claim of subjective feelings—evidence for industry deployment and regulation.

Output: EC grade (EC0–EC3), validity, scenario tags; training/evaluation summary and hash anchors.

Credential: W3C VC 2.0 with issuer/subject/grade/window/state; selective disclosure and CRLs.

Verifiable compute: TEE proof now; ZKML gradually covers mid-small models → TEE + ZK evidence chain.

5.3 End-to-End: Data → Capability → Value

Consent & Consent ID → on-device featurization → baseline gating & Q scoring → multimodal training + FL + DP with drift watch → online inference (EMOCOORDS coords/CI + strategy feedback loop) → offline/online pass → EC grade + validity → VC issuance & on-chain status → VDL maps uplift to revenue sharing export settlement credentials & audit anchors mint LAT/MLN/DCR/RSN where applicable.

5.4 Interfaces with Blockchain/AI Ecosystems

Identity and compliance (DID/VC, KYC/KYB, CRLs, regulator read-only keys). Execution and data availability (Ethereum L2 with blob space; PeerDAS roadmap). Verifiable compute (TEE at scale; ZKML coverage). RWA standards (for example, ERC-3643 with identity gating and transfer restrictions).

5.5 Security & Compliance

Data-side: device-first, feature uploads, DP budgets; residency and cross-border by region policy.

Access-side: zero-trust, least privilege, key rotation, device reputation, anomaly freeze & cut-off.

Compliance: revocation stops settlement and triggers data/model removal; open VC and settlement logs for audit.

Ethics: prohibit persona/value-label discrimination; human-in-the-loop for high-impact contexts.

5.6 Observability & SLO

Experience: p95/p99 latency, online stability, and emotional-turn detection success. Capability: UAR/F1/CCC, cross-domain robustness, adversarial robustness. Security: anomaly-contribution detection, revocation/CRL response time, VC verification pass rate. Value: Q* uplift, per-sample gain, revenue distribution, and credential queries.

5.7 Open APIs

Edge/Client SDK

Inference API (coords/CI/policies/rate-limit)

Training/FL API (encrypted features/gradients, aggregation & privacy receipts)

Profiles API (minimal-disclosure persona priors)

Decisions API (routing, profile abstracts, aggregates)

Certification API (EC & VC status)

VDL/Billing API (revenue sharing, rule snapshots, audit exports)

RWA/Registry API (LAT/MLN/DCR/RSN status & cross-chain sync).

Module	Metric	Target Range	Test Protocol	Notes
Audio capture	Sample rate / bit depth	16–48 kHz / 16-bit	Anechoic room & in-situ (dual scenarios)	Optional AEC / noise suppression
Physiological signals	PPG / EDA frequency	>= 64 Hz / >= 4 Hz	Steady-state & motion profiles	Noise filtering
On-device model	Size / p95 latency / power	<= 25 MB / p95 <= 120 ms / <= X mW	Random workload, 1K QPS	INT8 quantization
Connectivity	Reporting interval	5–60 s (adaptive)	Weak-network & offline compensation	End-to-end retry
Battery	Capacity / cycle life	>= 300 mAh / 300 cycles @ 80%	IEC 62133	Thermal management
Security	TEE / encryption	AES-256/GCM, key segregation	Penetration testing / red team	Key rotation
Compliance	Regional certifications	CE / FCC / GB/T list	Third-party laboratory	Batch sampling inspection