E-PAPS

AI Well-Aging Company

Contents

Full-Cycle Digital Health Content System for Comprehensive Well-Aging

Complexion begins with individual health data collection (screening & passive), then performs multimodal AI assessments including motion and voice analysis to deeply understand each user's condition.

It then provides AI conversational coaching and personalized prescriptions, while driving sustained engagement through gamification and ranking systems in an organic, cyclical well-aging digital health content framework.

Data Collection

Data Acquisition
Self-Report Data

Self-Report Data

Rapidly collects health indicators through screening questionnaires.

Passive Signal & Behavior Log

Passive Signal & Behavior Log

Automatically collects mobile/wearable signals and records daily behaviors for long-term tracking.

Multimodal AI Assessment

Multimodal Assessment
Motion Analysis

Motion Analysis

Quantifies functional physical abilities through AI-based posture and balance analysis.

Voice Biomarker

Voice Biomarker

Generates digital biomarkers by analyzing voice patterns to detect sleep, stress, and emotional changes.

AI-Driven Intervention

AI-Driven Intervention
AI Conversational Support

AI Conversational Support

Delivers context-aware feedback through interactive content tailored to individual conditions.

Personalized AI Prescription

Personalized AI Prescription

Automatically recommends exercise, coping strategies, and lifestyle management content based on multimodal data.

Sustained Engagement

Engagement
Gamification

Gamification

An engagement methodology applying game mechanics such as missions, points, and rewards to sustain health journeys.

Ranking System

Ranking System

A performance-based participation structure that strengthens motivation through comparative goal achievement.