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Motion Autocomplete Gen 8

| Gen | Focus | Key Addition | |-----|-------|--------------| | 1-5 | Foundation | Motion detection, Markov prediction, time patterns | | **6** | **Intent Recognition** | **Precursor detection, WHY-inference, goal chains** | | 7 | Holistic Awareness | Wearables + Spatial + Social + Health + Calendar | | **8** | **Living Space** | **Smart Home + Voice Override + Circadian Rhythm** |

Embodied Trajectory Systems research note experiment writeup candidate score 40 .md

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Motion Autocomplete Gen 8

> ߊ߬ ߞߊ߫ ߖߊ߬ߕߋ߬ ߞߊ߬ ߕߊ߯ ߢߊ ߟߐ߲߫ — "To know where to go, know the path"

AI that predicts your next physical movement and prepares context before you arrive.

Evolution History

Gen	Focus	Key Addition
1-5	Foundation	Motion detection, Markov prediction, time patterns
6	Intent Recognition	Precursor detection, WHY-inference, goal chains
7	Holistic Awareness	Wearables + Spatial + Social + Health + Calendar
8	Living Space	Smart Home + Voice Override + Circadian Rhythm

Gen 6 Components (Intent Recognition)

### 🧠 Precursor Detector (`intent/precursor-detector.ts`)
The body broadcasts intent before conscious action — a weight shift, a glance, a reach.
These micro-movements give us 500-2000ms of lead time.

Precursor Type	Detection Method	Lead Time
weight-shift	Accelerometer center-of-gravity change	800-1500ms
gaze-redirect	Eye tracking / head turn	500-1000ms
hand-preparation	Gyroscope hand positioning	300-800ms
screen-disengage	Keyboard/mouse activity drop	1000-2000ms
postural-adjustment	Subtle position changes	500-1000ms
breathing-change	Heart rate variability	1500-3000ms

typescript

// Precursors emit before full movement
mac.on('precursor-signal', ({ type, confidence, impliedIntent }) => {
  // weight-shift detected (0.82 confidence)
  // implies: ['leaving-seat', 'focus-shifting']
});

### 🎯 Intent Engine (`intent/intent-engine.ts`)
Understanding WHY people move, not just WHAT they do.

Intent Categories:
- `leaving-seat` — About to stand up and go somewhere
- `refreshment-seeking` — Heading for food/drink
- `rest-seeking` — Winding down for sleep/nap
- `social-interaction` — Engaging with another person
- `communication-intent` — About to check phone/send message
- `exercise-preparing` — Getting ready for physical activity
- `focus-shifting` — Changing mental context
- `approaching-task` — Settling in for focused work

typescript

mac.on('intent-detected', (intent) => {
  // Intent: refreshment-seeking (0.78 confidence)
  // Goal chain: rising_from_chair → walking_to_kitchen → stationary_kitchen
  // Context needs: hydration-reminder-suppress, kitchen-light-prep
});

### 🌉 Context Bridge (`intent/context-bridge.ts`)
Translates intent into prepared context with intelligent queuing.

typescript

// Actions queue based on confidence and priority
mac.on('context-ready', ({ intent, actionCount, expiresIn }) => {
  // refreshment-seeking: 4 actions queued, expires in 45s
});

// Or handle actions directly
mac.registerActionHandler('smart-home', async (action) => {
  await homekit.execute(action.parameters);
});

Gen 6 Philosophy: Know the WHY

> ߞߊ߬ߡߊ ߞߐ߬ߣߐ߲߬ ߞߊ߫ ߕߊ߯ ߢߊ ߦߋ߫ — "The body knows the path before the mind"

The difference between "standing up" and "standing up to get coffee" determines what context to prepare:

Movement	Without Intent	With Intent (Gen 6)
Rising from chair	Generic "mobile mode"	Kitchen lights warming, coffee status checked
Walking to door	"Leaving" context	Weather loaded, commute times ready, calendar checked
Reaching for phone	"Device check"	Priority messages summarized, quick-reply ready

Learning System:
- Records actual outcomes vs predictions
- Learns personal precursor patterns
- Adapts goal profiles to individual habits
- Per-activity historical accuracy tracking

Gen 8 Components

### 🏠 Smart Home Integration (`smarthome/device-orchestrator.ts`)
Your home follows you through space:
- Lights warm before you arrive, dim as you leave
- Thermostat adjusts based on zone occupancy
- Appliances prepare (coffee starts when you walk to kitchen)
- Circadian-aware: Light temperature follows your biology
- Learning: Remembers when you manually adjust settings

typescript

// Devices auto-prepare based on motion prediction
mac.on('smarthome-preparing', ({ zone, devices }) => {
  // Living room lights warming up, TV ready to resume
});

### 🎤 Voice Override System (`voice/voice-override.ts`)
Natural language control over predictions:

Say This	What Happens
"I'm not leaving yet"	Cancels all motion preparations
"Give me 10 more minutes"	Delays scheduled actions
"Skip the coffee"	Cancels specific device
"Too bright" / "Warmer"	Adjusts current zone lighting
"Switch to focus mode"	Forces specific context mode
"Remember this"	Learns current settings as preference
"Undo"	Reverts last action

Wake words: "hey home", "ok motion", "computer" (customizable)

typescript

const result = mac.processVoiceCommand("hey home, I'm not leaving yet");
// { success: true, message: "Cancelled all motion preparations" }

### 🌡️ Circadian Rhythm Engine (`bio/circadian-rhythm.ts`)
Predictions align with your biology:
- Chronotype detection: Early bird, intermediate, or night owl
- Phase awareness: Peak cognitive, energy dip, wind-down, etc.
- Activity alignment: Scores how well predictions fit current phase
- Confidence adjustment: Lower confidence for biologically unlikely motions
- Optimal timing: Suggests best times for specific activities

typescript

mac.getCircadianSummary();
// 🌡️ Phase: morning-peak
// ⚡ Energy: 95%
// 🧠 Cognitive: peak
// 💡 Light: 5000K

mac.suggestTimeFor('deep-work');
// [{ hour: 9, score: 100, phase: 'morning-peak' }, ...]

Full Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                      Motion Autocomplete Gen 8                          │
│                         (Main Orchestrator)                             │
├─────────────────────────────────────────────────────────────────────────┤
│                          GEN 8 COMPONENTS                               │
├──────────────┬───────────────────┬──────────────────────────────────────┤
│    Device    │      Voice        │         Circadian                    │
│ Orchestrator │    Override       │          Rhythm                      │
│  (🏠 Home)   │   (🎤 Control)    │       (🌡️ Biology)                  │
├──────────────┴───────────────────┴──────────────────────────────────────┤
│                          GEN 7 COMPONENTS                               │
├──────────┬──────────┬───────────┬────────────┬──────────────────────────┤
│  Watch   │  Spatial │   Social  │   Health   │       Calendar           │
│  Bridge  │   Mesh   │  Network  │  Insights  │    Intelligence          │
├──────────┴──────────┴───────────┴────────────┴──────────────────────────┤
│                     GEN 6 COMPONENTS (Intent Layer)                     │
├────────────────┬──────────────────┬─────────────────────────────────────┤
│   Precursor    │      Intent      │         Context                     │
│   Detector     │      Engine      │          Bridge                     │
│ (🔮 Signals)   │   (🎯 Goals)     │      (🌉 Actions)                   │
├────────────────┴──────────────────┴─────────────────────────────────────┤
│                        Event System                                     │
├─────────────────────────────────────────────────────────────────────────┤
│  intent-detected | precursor-signal | motion-pattern | context-ready   │
│  motion-anticipated | zone-transition | smarthome-preparing            │
│  voice-override | circadian-phase | preparations-cancelled             │
└─────────────────────────────────────────────────────────────────────────┘

Event Flow Example

1. [Watch] Wrist rotation detected → weight-shift precursor
2. [Gen 6 Precursor] Detected: weight-shift (0.82), postural-adjustment (0.71)
3. [Gen 6 Intent] Pattern match: "Pre-stand sequence" (68% match)
4. [Gen 6 Intent] Inferred: refreshment-seeking (0.74 confidence)
   - Goal chain: rising → walking_to_kitchen → stationary
   - Evidence: time=10:30am (peak coffee time), screen-disengage recent
5. [Gen 6 Bridge] Queue actions:
   - hydration-reminder-suppress (immediate)
   - kitchen-light-prep (500ms delay)
   - coffee-status-check (immediate)
6. [Circadian] Current phase: morning-peak, energy: 85%
7. [Circadian] Activity alignment: cooking (score: 90%) → boost confidence
8. [SmartHome] Execute kitchen prep:
   - Main light: ON, 4000K, 100%
   - Under-cabinet: ON
   - Coffee maker: Start brew
9. [Voice] User: "Skip the coffee"
10. [SmartHome] Cancel coffee maker action
11. [Spatial] Kitchen sensors confirm arrival
12. [Gen 6 Learning] Record outcome: [rising, walking_to_kitchen] ✓ Correct!

Usage

typescript

import MotionAutocomplete from './src';

// Initialize with chronotype hint
const mac = new MotionAutocomplete('user-001', {
  chronotype: 'intermediate'
});

// ═══════════════════════════════════════════════
// Gen 6: Intent Recognition
// ═══════════════════════════════════════════════

// Feed raw sensor data for intent inference
mac.feedSensorData('phone-accelerometer', {
  x: 0.3, y: 0.1, z: 0.8,
  duration: 350
});

// Get current inferred intent
const intent = mac.getCurrentIntent();
// { category: 'refreshment-seeking', confidence: 0.74, goalChain: [...] }

// Get predicted movement chain
const chain = mac.getPredictedMovementChain();
// ['rising_from_chair', 'walking_to_kitchen', 'stationary_kitchen']

// Record actual outcome (for learning)
mac.recordMovementOutcome(['rising_from_chair', 'walking_to_kitchen']);

// Listen for intent events
mac.on('intent-detected', (intent) => {
  console.log(`Intent: ${intent.category} (${intent.confidence})`);
  console.log(`Goal chain: ${intent.goalChain.join(' → ')}`);
});

mac.on('precursor-signal', ({ type, confidence }) => {
  console.log(`Precursor: ${type} (${confidence})`);
});

mac.on('context-ready', ({ intent, actionCount }) => {
  console.log(`${actionCount} actions queued for ${intent}`);
});

// Register custom action handler
mac.registerActionHandler('smart-home', async (action) => {
  await myHomeKit.execute(action.parameters);
});

// ═══════════════════════════════════════════════
// Gen 8: Voice + Circadian + Smart Home
// ═══════════════════════════════════════════════

// Voice commands
mac.processVoiceCommand("hey home, too bright");

// Circadian-aware predictions
const prediction = mac.getPrediction();
// Includes: circadianAlignment, smartHomePrepped

// Activity optimization
const bestTimes = mac.suggestTimeFor('exercise');

// Smart home events
mac.on('smarthome-preparing', ({ zone, devices }) => {
  console.log(`Preparing ${zone}: ${devices.length} devices`);
});

// Override events
mac.on('preparations-cancelled', (params) => {
  console.log('User cancelled predictions');
});

Philosophy

The best interface anticipates, not reacts.

Gen 8 Principle: The Living Space

Your home is an extension of your body. It should:
- Breathe with you — lights follow circadian rhythm
- Listen to you — voice overrides predictions naturally
- Learn from you — preferences adapt over time
- Support you — not demand your attention

> ߞߊ߲ ߦߋ߫ ߛߋ߫ ߟߊ߫ — "Voice has power"

Demo

bash

npx ts-node src/index.ts

Output:

🏃 Motion Autocomplete Gen 8 - Demo Mode
New in Gen 6: Intent Recognition • Precursor Detection • Goal Chains
New in Gen 8: Smart Home • Voice Override • Circadian Rhythm

═══════════════════════════════════════════════
🧠 GEN 6: INTENT STATUS
═══════════════════════════════════════════════

Precursor Buffer: 3 signals (5s window)
   Recent: weight-shift, postural-adjustment, screen-disengage

Active Intent: refreshment-seeking
   Confidence: 0.74
   Goal Chain: rising_from_chair → walking_to_kitchen
   Time Horizon: short
   Evidence:
     - Precursors: weight-shift, screen-disengage
     - Temporal: hour_10 (peak coffee time)

Context Actions Queued:
   ✓ hydration-reminder-suppress (immediate)
   ⏳ kitchen-light-prep (500ms)
   ✓ coffee-status-check (immediate)

Learning Stats:
   Patterns Learned: 12
   Recent Accuracy: 78%
   History Size: 143 outcomes

═══════════════════════════════════════════════
📊 CURRENT STATE
═══════════════════════════════════════════════

Circadian Status:
🌡️ Phase: afternoon-recovery
⚡ Energy: 70%
🧠 Cognitive: rising
🏃 Physical: moderate
⏭️ Next: afternoon-peak (45min)
💡 Light: 4500K

Recommended Lighting:
   Temperature: 4500K
   Brightness: 76%

Best time for deep work:
   9:00 (morning-peak) - 100% alignment
   16:00 (afternoon-peak) - 85% alignment
   10:00 (late-morning) - 75% alignment

═══════════════════════════════════════════════
🎤 VOICE COMMAND DEMO
═══════════════════════════════════════════════

> "hey home, I'm not leaving yet"
  ✓ Cancelled all motion preparations

> "hey home, skip the coffee"
  ✓ Skipping coffee-maker

> "hey home, give me 10 more minutes"
  ✓ Delaying actions by 10 minutes

Gen 9+ Ideas

[ ] Predictive file sync (offline what you'll need)
[ ] WebXR spatial anchors for AR context overlays
[ ] Collaborative workspace awareness (who's in focus mode?)
[ ] Sleep quality feedback loop
[ ] Commute-aware (traffic → leave early suggestions)
[ ] Weather-responsive (rain → prepare umbrella context)

Privacy Principles

All processing local-first
No motion data leaves device
Voice processing done locally
Smart home commands stay on local network
Circadian data never shared
Learning is per-device, not cloud-synced

Promotion Decision

Attach run IDs, datasets, metrics, and reproduction commands.

Source Anchor

motion-autocomplete/README.md

Detected Structure

Method · Evaluation · References · Code Anchors · Architecture