> For the complete documentation index, see [llms.txt](https://gaea-2.gitbook.io/gaea-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gaea-2.gitbook.io/gaea-docs/getting-started/quickstart/5.-technical-architecture.md). # 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).
ModuleMetricTarget RangeTest ProtocolNotes
Audio captureSample rate / bit depth16–48 kHz / 16-bitAnechoic room & in-situ (dual scenarios)Optional AEC / noise suppression
Physiological signalsPPG / EDA frequency>= 64 Hz / >= 4 HzSteady-state & motion profilesNoise filtering
On-device modelSize / p95 latency / power<= 25 MB / p95 <= 120 ms / <= X mWRandom workload, 1K QPSINT8 quantization
ConnectivityReporting interval5–60 s (adaptive)Weak-network & offline compensationEnd-to-end retry
BatteryCapacity / cycle life>= 300 mAh / 300 cycles @ 80%IEC 62133Thermal management
SecurityTEE / encryptionAES-256/GCM, key segregationPenetration testing / red teamKey rotation
ComplianceRegional certificationsCE / FCC / GB/T listThird-party laboratoryBatch sampling inspection