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LILLIUS White Paper
  • ๐ŸŒ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
  • ๐Ÿ‡ฐ๐Ÿ‡ทKOREAN
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 ํ—ฌ์Šค์ผ€์–ด & ํ”ผํŠธ๋‹ˆ์Šค ์‹œ์žฅ
      • 4.2 ๋ธ”๋ก์ฒด์ธ ์‹œ์žฅ
    • 5. Industry Pain Point
      • 5.1 ์šด๋™ ์‚ฐ์—…์˜ Pain Point
      • 5.2 Web3 ์‚ฐ์—…์˜ Pain Point
    • 6. Target Analysis
      • 6.1 MZ์„ธ๋Œ€์˜ ํŠน์ง•๊ณผ ํŠธ๋ Œ๋“œ
      • 6.2 MZ์„ธ๋Œ€์˜ ๊ฑด๊ฐ•๊ด€๋ฆฌ ์ฝ˜ํ…์ธ 
      • 6.3 MZ์„ธ๋Œ€์˜ ๋””์ง€ํ„ธ ๊ธฐ๊ธฐ ํ™œ์šฉ
    • 7. Business & Technical Logics
      • 7.1 AI ๋™์ž‘๋ถ„์„ ์‹œ์Šคํ…œ
      • 7.2 ์šด๋™๋Ÿ‰ ์ธก์ •๊ณผ ๋””๋ฐ”์ด์Šค ์—ฐ๋™ ์‹œ์Šคํ…œ
      • 7.3 NFT ๋ฉค๋ฒ„์‹ญ
      • 7.4 ํŠธ๋ ˆ์ด๋‹ ํ”„๋กœ๊ทธ๋žจ
      • 7.5 ์ „์„ธ๊ณ„๋กœ ๋ป—์–ด๋‚˜๊ฐ€๋Š” ๋ฆด๋ฆฌ์–ด์Šค ์ฝ˜ํ…์ธ 
      • 7.6 ํ† ํฐ ์œ ํ‹ธ๋ฆฌํ‹ฐ
      • 7.7 Web3 ์ปค๋ฎค๋‹ˆํ‹ฐ
      • 7.8 ์ฝ˜ํ…์ธ  ์ปค๋จธ์Šค
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 ์„œ๋น„์Šค ์•„ํ‚คํ…์ฒ˜
      • 11.2 ๋ธ”๋ก์ฒด์ธ (ํด๋ฆฌ๊ณค ์ฒด์ธ)
      • 11.3 AI ๋™์ž‘๋ถ„์„๊ธฐ์ˆ 
      • 11.4 ํŠนํ—ˆ
    • 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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  1. ENGLISH
  2. 6. Target Analysis

6.3 Leveraging Generation MZ's digital devices

The MZ generation is actively utilizing digital devices for their health management.

The MZ generation, being digital natives, actively embraces new devices and digital services. They have no reservations about trying out new apps and devices, using them to record and store their exercise history. The LILLIUS app caters to this tendency, offering a user-friendly main page UI where users can easily view their accumulated exercise data, workout counts, and calories burned.

Additionally, LILLIUS has introduced a feature that evaluates and verifies training progress and aerobic exercise by linking heart rate data from smart devices, providing appropriate rewards accordingly. Future plans include expanding motion analysis services to cover sleep, weight, and outdoor activities, offering a wide range of health habit challenges by integrating with various devices.

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Last updated 1 year ago

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