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LILLIUS White Paper
  • 🌐ENGLISH
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 Healthcare & Fitness Market
      • 4.2 Blockchain Market
    • 5. Industry Pain Point
      • 5.1 The exercise-related industry
      • 5.2 Pain Points in the Web3 Industry
    • 6. Target Analysis
      • 6.1 Characteristics and trends of Gen MZ
      • 6.2 Healthcare Content for Generation MZ
      • 6.3 Leveraging Generation MZ's digital devices
    • 7. Business & Technical Logics
      • 7.1 AI motion analysis system
      • 7.2 The momentum measurement and device linkage system
      • 7.3 NFT membership
      • 7.4 Training Program
      • 7.5 The content of LILLIUS is spreading worldwide
      • 7.6 Token Utility
      • 7.7 Web3 community
      • 7.8 Content commerce
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 Service Architecture
      • 11.2 Blockchain (Polygon Chain)
      • 11.3 AI Motion Analysis Technology
      • 11.4 Patent
    • 12. Token Economics & Fund
      • LLT Token Economices
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
  • 🇰🇷KOREAN
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 헬스케어 & 피트니스 시장
      • 4.2 블록체인 시장
    • 5. Industry Pain Point
      • 5.1 운동 산업의 Pain Point
      • 5.2 Web3 산업의 Pain Point
    • 6. Target Analysis
      • 6.1 MZ세대의 특징과 트렌드
      • 6.2 MZ세대의 건강관리 콘텐츠
      • 6.3 MZ세대의 디지털 기기 활용
    • 7. Business & Technical Logics
      • 7.1 AI 동작분석 시스템
      • 7.2 운동량 측정과 디바이스 연동 시스템
      • 7.3 NFT 멤버십
      • 7.4 트레이닝 프로그램
      • 7.5 전세계로 뻗어나가는 릴리어스 콘텐츠
      • 7.6 토큰 유틸리티
      • 7.7 Web3 커뮤니티
      • 7.8 콘텐츠 커머스
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 서비스 아키텍처
      • 11.2 블록체인 (폴리곤 체인)
      • 11.3 AI 동작분석기술
      • 11.4 특허
    • 12. Token Economics & Fund
      • LLT Token Economics
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
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  • LILLIUS is a specialized exercise service powered by AI human motion analysis technology
  • LILLIUS offers instantaneous analysis and assessment of user actions in real-time
  1. ENGLISH
  2. 7. Business & Technical Logics

7.1 AI motion analysis system

Previous7. Business & Technical LogicsNext7.2 The momentum measurement and device linkage system

Last updated 1 year ago

LILLIUS is a specialized exercise service powered by AI human motion analysis technology

The AI motion analysis system is an advanced technology used by LILLIUS to assess the precision of training movements. It is powered by LILLIUS' AI motion analysis technology, which has been developed through extensive research in 2D and 3D camera-based Human Motion Detection since 2016. This innovative system analyzes image data captured by 2D or 3D cameras, evaluates human motions in real-time, including accuracy, timing, and speed, without requiring any additional sensors to be attached to the user's body.

LILLIUS offers instantaneous analysis and assessment of user actions in real-time

LILLIUS' AI human body motion analysis system compares the user's motion input captured through the camera with expert motions, generating comparative analysis results on the frequency and accuracy of the user's movements. This technology excels in providing evaluations and diagnoses based on real-time accuracy matching, surpassing mere imitation of general videos.

1. Core posture and motion convergence sensing

LILLIUS utilizes the smartphone's camera to autonomously extract sports players' motions and create a skeleton exercise database. The process involves human extraction, joint tracking, and bone extraction information stabilization to convert motion details into data. A crucial technology employed by LILLIUS is bone extraction information stabilization, which refines features through key joint selection, creating a hybrid approach that combines key postures' shape and key motions' dynamics. Please refer to section 11 for more details.

2. LILLIUS ensures the acquisition of accurate exercise movements by providing instant training analysis

Within the LILLIUS APP, users can utilize their smartphones to analyze and diagnose their workouts while following the training and challenge videos. Notably, LILLIUS' technology allows for the diagnosis of each user's exercise performance, providing immediate real-time feedback. This enables users to correct and learn accurate exercise motions efficiently, as they can apply and repeat the feedback immediately to their subsequent movements.

The AI motion analysis system assesses the precision of users' exercise motions and provides a progress score for "following the exercise." With the LILLIUS APP, the AI motion analysis system continually gathers deep learning data, enhancing the accuracy of data evaluation as the LILLIUS platform expands.

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