NGMI 3.0: AR-Powered Physical Challenge Verification

NGMI 3.0 represents a revolutionary proof-of-concept that will transform the platform from digital prediction markets to a physical-digital fusion system. This document outlines the core concepts, technical foundation, and implementation strategy for this ambitious evolution.

Core Innovation: The AR Verification Engine

The foundation of NGMI 3.0 is the AR Verification Engine – a sophisticated system that transforms smartphone sensors into reliable verification tools for physical activities.

Sensor Fusion Architecture

┌─────────────────────────────────────────────────┐
│                 Raw Sensor Data                 │
│  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────┐ │
│  │Accel.   │  │Gyroscope│  │Camera   │  │GPS  │ │
│  └────┬────┘  └────┬────┘  └────┬────┘  └──┬──┘ │
└───────┼─────────────┼─────────────┼─────────┼───┘
         │             │             │         │
         ▼             ▼             ▼         ▼
┌────────┴─────────────┴─────────────┴─────────┴───┐
│                                                  │
│              Low-Level Sensor Fusion             │
│     (Kalman filtering, complementary filters)    │
│                                                  │
└─────────────────────────┬──────────────────────┬─┘
                          │                      │
                          ▼                      ▼
          ┌───────────────────────────┐ ┌─────────────────────┐
          │                           │ │                     │
          │    Motion Recognition     │ │  Spatial Tracking   │
          │    (Activity patterns)    │ │  (Position, paths)  │
          │                           │ │                     │
          └─────────────┬─────────────┘ └──────────┬──────────┘
                        │                          │
                        ▼                          ▼
             ┌────────────────────────────────────────────────┐
             │                                                │
             │              Verification Engine               │
             │        (Rule checking, anti-cheat logic)       │
             │                                                │
             └────────────────────────┬───────────────────────┘
                                      │
                                      ▼
                        ┌─────────────────────────┐
                        │                         │
                        │      Result Output      │
                        │  (Confidence scoring)   │
                        │                         │
                        └─────────────────────────┘

Verification Methodology Classification

NGMI 3.0 POC will implement the first three levels of our five-level verification framework:

Category	Verification Method	Example Challenges	Technical Requirements
Level 1	Single sensor	Jump height, steps counted	Accelerometer only
Level 2	Multi-sensor fusion	Running speed, orientation	Accelerometer + GPS/Gyroscope
Level 3	Visual verification	Target hitting, posture holding	Camera + ML model
Level 4 (Future)	Comprehensive tracking	Form analysis, complex movements	Multiple sensors and ML
Level 5 (Future)	Environmental interaction	Object manipulation, spatial challenges	Advanced SLAM and object recognition

Self Domain: Physical Challenges as Personal Goals

The Self Domain focuses on personal improvement and habit formation through verifiable physical challenges.

Key Features for POC

• Personal Goals System: Set physical targets with AR verification
• Progress Tracking: Visual representation of improvement over time
• Self-Prediction: Create personal commitment markets
• Challenge Templates: Pre-defined challenges with verification parameters

Self Challenge Types (Initial Implementation)

Challenge Category	Description	Verification Method	Example Challenges
Jump Performance	Vertical jump height	Accelerometer with flight time calculation	Max height jump, consistency challenges
Step Counting	Step-based movement	Accelerometer pattern recognition	Daily step goals, pace challenges
Balance Tests	Stability challenges	Gyroscope-based stability metrics	Time-based balance holds, stability precision
Posture Holds	Basic form maintenance	Camera-based pose estimation	Plank holds, posture maintenance

Anti-Cheating System

A fundamental requirement for verifiable physical challenges is a robust anti-cheating system. The POC will implement:

1. Multi-layered Defense

┌─────────────────────────────────────────────────────┐
│                                                     │
│             Multi-layered Defense System            │
│                                                     │
└─────────────────────────────────────────────────────┘
                        │
        ┌───────────────┼───────────────┐
        │               │               │
        ▼               ▼               ▼
┌─────────────┐  ┌─────────────┐  ┌─────────────┐
│             │  │             │  │             │
│  Technical  │  │ Statistical │  │  Random     │
│  Validation │  │  Analysis   │  │ Elements    │
│             │  │             │  │             │
└─────────────┘  └─────────────┘  └─────────────┘

2. Key Anti-Cheating Measures

• Sensor cross-validation: Comparing data across multiple sensors
• Pattern analysis: ML-based detection of unnatural movement patterns
• Randomization: Dynamic challenge parameters that prevent pre-recorded submissions
• Performance consistency: Comparing against user history and population norms
• Visual markers: Required visual elements that must appear during verification

AR Interface Design

NGMI 3.0 implements a minimal but effective AR interface focused on verification rather than visual spectacle.

Essential Visual Elements

• Challenge boundaries and target indicators
• Form guides and alignment markers
• Success/failure indicators
• Progress visualization
• Calibration guides

User Interaction Flow

1. Environment Setup: Initial scanning and preparation
2. Calibration Phase: Device and user positioning
3. Challenge Execution: Performance with real-time feedback
4. Verification Process: Multi-factor validation
5. Results Display: Performance metrics and confidence score

Technical Requirements

The NGMI 3.0 POC targets modern smartphones with AR capabilities:

Device Requirements

• iOS 14+ with ARKit 4.0+ support
• Android 10+ with ARCore 1.23+ support
• Camera with 720p+ capability
• Accelerometer, gyroscope access
• 2GB+ RAM recommended

Implementation Stack

• AR Framework: Unity with AR Foundation (cross-platform)
• Computer Vision: MediaPipe (optimized for mobile)
• Sensor Fusion: Custom implementation with Kalman filtering
• Machine Learning: TensorFlow Lite for on-device processing
• Backend: Integration with NGMI 2.0 prediction markets

POC Development Timeline

The NGMI 3.0 POC will be developed in three phases:

Phase 1: Foundation (Q1-Q2 2027)

• Basic sensor data processing pipeline
• Initial challenge definition framework
• Simple verification for Level 1 challenges
• Core UI implementation

Phase 2: Enhancement (Q3 2027)

• Computer vision integration
• Level 2-3 challenge support
• Enhanced anti-cheating measures
• Self domain basic functionality

Phase 3: Integration & Testing (Q4 2027)

• Integration with NGMI 2.0 prediction markets
• Internal testing and optimization
• Preparation for limited alpha release
• Documentation and feedback systems

Alpha Program

A limited alpha program will begin in Q1 2028:

• 500-1,000 selected participants
• Focus on fitness enthusiasts and early adopters
• Core Self Domain challenges only
• Basic verification functionality
• Heavy focus on feedback collection

Success Criteria

The POC will be evaluated based on:

• Verification accuracy rates (target: >90% for Level 1, >80% for Level 2-3)
• False positive/negative percentages (target: less than 5% false positives, less than 10% false negatives)
• Device compatibility coverage (target: >95% of Tier 1 devices, >80% of Tier 2)
• User experience feedback measurements
• Technical performance metrics (battery impact, processing time)

Future Extensions

The successful POC will lead to further development in:

• Social Domain: Friend-to-friend challenges, social verification
• Advanced Challenge Types: Complex movements, form analysis
• Expanded Device Support: Broader device compatibility
• Enhanced Anti-Cheating: More sophisticated verification methods

NGMI 3.0 represents just the beginning of our journey into physical-digital fusion. The proof-of-concept will validate our core assumptions and technical approach, setting the stage for the more comprehensive NGMI 3.5 MVP.