Evolution Log — Motion Autocomplete: AI predicts your next physical movement
**Goal:** Evolve Gen 6 heuristic prototype into a runnable multimodal prediction stack with testable orchestration behavior.
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Evolution Log — Motion Autocomplete: AI predicts your next physical movement
Tracking what each generation produces.
---
Generation 7 — 2026-02-26
Goal: Evolve Gen 6 heuristic prototype into a runnable multimodal prediction stack with testable orchestration behavior.
### Delivered
- Multimodal schemas (`MotionFrame`) combining IMU, pose, and local context.
- Fusion predictor with sliding-window feature aggregation and intent scoring.
- Intent set expanded to: `lifting_object`, `turning_around`, `reaching_for_object`, `walking_towards_exit`, `idle`.
- Context orchestrator upgraded to produce structured action plans with confidence gating and cooldown suppression.
- Deterministic stream simulator for multiple scenarios.
- CLI enhancements: scenario selection, `all` mode, JSON output.
- Runtime config added in `config/default.json`.
- Tests: predictor unit tests, orchestrator unit tests, CLI smoke test.
- Packaging/runtime scaffolding: `pyproject.toml`, `Makefile`, `Dockerfile`.
### Findings
- Feature-level fusion improves interpretability versus single-axis heuristics.
- Cooldown suppression is required to avoid noisy repetitive automation.
- Deterministic simulation seeds make regression testing stable across generations.
### Next Suggestion (Generation 8)
Replace heuristic scoring with a lightweight learned temporal model and attach real endpoint adapters (Graph Kernel / Perception Mesh) to evaluate latency under live input.
---
Generation 6 — 2026-02-25 06:15
Quality Score: 0.9
Files Changed: `ARCHITECTURE.md`, `EVOLUTION.md`, `.gitignore`, `src/models/motion.py`, `src/engine/predictor.py`, `src/context/orchestrator.py`, `src/main.py`
Commits: `dc2b8f2`
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Replace heuristics with lightweight sequence model and add multimodal sensor fusion.
---
Generation 6 — 2026-03-12 19:33
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-12 19:33
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-20 08:02
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-20 08:03
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-22 02:34
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-22 02:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-22 02:36
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-23 08:13
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-23 08:13
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-24 01:58
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-24 01:59
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-24 07:34
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-24 07:34
Quality Score: 0.9
Files Changed: ARCHITECTURE.md, EVOLUTION.md, .gitignore, src/models/motion.py, src/engine/predictor.py, src/context/orchestrator.py, src/main.py
Commits: dc2b8f2
Artifacts: Technical Specification, Motion Prediction Engine (Heuristic), Context Orchestrator, Real-time Simulation Tool
Next Suggestion: Gen 8 should replace the heuristic model with a lightweight LSTM or Transformer trained on basic motion datasets (like UCI HAR) and integrate multi-modal sensor fusion (e.g., simulated camera pose estimation).
---
Generation 6 — 2026-03-24 07:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Generation 6 — 2026-03-24 07:35
Quality Score: 0.95
Files Changed: .gitignore, ARCHITECTURE.md, EVOLUTION.md, README.md, .dockerignore, Dockerfile, Makefile, config/default.json, pyproject.toml, src/__init__.py, src/config.py, src/context/__init__.py, src/context/orchestrator.py, src/engine/__init__.py, src/engine/predictor.py, src/ingestion/__init__.py, src/ingestion/simulator.py, src/main.py, src/models/__init__.py, src/models/motion.py, tests/test_orchestrator.py, tests/test_predictor.py, tests/test_smoke.py
Commits: 534e6e5
Artifacts: Multimodal motion data contracts (IMU + pose + environment), Fusion predictor with sliding-window intent scoring, Context orchestrator with confidence gating and cooldown, Deterministic simulator for idle/lifting/turning/reaching/exit scenarios, CLI with scenario selection and JSON event output, Unit tests and smoke test suite, Runtime scaffolding: pyproject, Makefile, Dockerfile, config
Next Suggestion: Gen 8 should replace heuristic intent scoring with a lightweight trained temporal model (e.g., tiny LSTM/Transformer), then add live adapters to Graph Kernel/Perception Mesh and log predictions/actions to Supabase for latency and online-learning evaluation.
---
Promotion Decision
Attach run IDs, datasets, metrics, and reproduction commands.
Source Anchor
projects/hef-evolutions/motion-autocomplete-ai-predicts-your-next-physical/EVOLUTION.md
Detected Structure
Method · Evaluation · Code Anchors · Architecture