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1. | EXECUTIVE SUMMARY |
1.1. | Report Scope |
1.2. | Megatrends Driving Skin Sensor Technologies |
1.3. | Skin Sensor Devices Take Many Forms |
1.4. | Skin Parameters Analyzed |
1.5. | Technology Advancements and Trends |
1.6. | Deep learning (DL) makes automated image recognition possible |
1.7. | The Rise of Microbiome Research |
1.8. | Key Market Segments for Skin Sensor Technologies |
1.9. | Skin Sensors in Research & Development |
1.10. | Skin Sensors as a Marketing Tool |
1.11. | Skin Sensors for Consumers at Home |
1.12. | Marketing: Business Models |
1.13. | Beauty Tech at CES 2020 |
1.14. | Market Forecast 2020 - 2030 |
1.15. | Market Forecast: Marketing |
2. | INTRODUCTION |
2.1. | Report Scope |
2.2. | Skin Structure |
2.3. | Epidermis |
2.4. | Dermis |
2.5. | Skincare as Protection Against the Environment |
2.6. | Skincare in the Race Against Time |
2.7. | Upselling Through Personalization |
2.8. | Moving Sales Online |
2.9. | Megatrends Driving Skin Sensor Technologies |
3. | SKIN PARAMETERS AND MEASUREMENT TECHNIQUES |
3.1.1. | Chapter Overview |
3.1.2. | Skin Sensor Devices Take Many Forms |
3.1.3. | Image Requirements |
3.1.4. | Hydration/Moisture |
3.1.5. | Hydration: Capacitance |
3.1.6. | Hydration: Capacitance Examples |
3.1.7. | Hydration: Bioelectrical Impedance Analysis |
3.1.8. | Hydration: Players and Methods |
3.1.9. | Hydration: Discussion |
3.1.10. | Hydration: Examples of Optical Measurements |
3.1.11. | Wrinkles and Pores |
3.1.12. | Wrinkles and Pores: Parallel Polarized Light |
3.1.13. | Wrinkles and Pores: 3D Photography |
3.1.14. | Wrinkles and Pores: Image Analysis |
3.1.15. | Wrinkles and Pores: Players and Methods |
3.1.16. | Wrinkles and Pores: Discussion |
3.1.17. | Sebum |
3.1.18. | Sebum: Sebutape |
3.1.19. | Sebum: Examples of Film-Based Devices |
3.1.20. | Sebum: UV |
3.1.21. | Sebum: Other Optical Means |
3.1.22. | Sebum: Players and Methods |
3.1.23. | Color |
3.1.24. | Color: Multispectral Imaging |
3.1.25. | Color: White Light |
3.1.26. | Color: Canfield Scientific RBX Technology |
3.1.27. | Color: UV |
3.1.28. | Color: Example of Hyperspectral Imaging |
3.1.29. | Melanin: Players and Methods |
3.1.30. | Hemoglobin: Players and Methods |
3.1.31. | Color: Skin Tone |
3.1.32. | Elasticity/Firmness |
3.1.33. | Elasticity: Contact-Based Methods |
3.1.34. | Elasticity: Image-Based Method |
3.1.35. | Elasticity: Players and Methods |
3.1.36. | Other Common Parameters |
3.2. | Emerging Parameters in Skin Sensors |
3.2.1. | Genetic Testing |
3.2.2. | Genetic Testing: Categories |
3.2.3. | Genetic Testing: Players |
3.2.4. | Microbiome |
3.2.5. | The Rise of Microbiome Research |
3.2.6. | Skin Sensor Technologies: Summary and Outlook |
3.3. | Artificial Intelligence |
3.3.1. | What is artificial intelligence (AI)? Terminologies explained |
3.3.2. | Algorithm training process in a single layer |
3.3.3. | Towards deep learning by deepening the neutral network |
3.3.4. | Deep learning (DL) makes automated image recognition possible |
3.3.5. | Image recognition AI is based on convolutional neural networks (CNNs) |
3.3.6. | AI - Disrupting Skin Cancer Detection |
3.3.7. | Skin cancer |
3.3.8. | Skin cancer: Key players |
3.3.9. | Skin cancer: Machine learning algorithms |
3.3.10. | Skin cancer: The ABCDE criteria |
3.3.11. | Skin cancer: Dermoscopic melanoma recognition (2018) |
3.3.12. | Skin cancer: Dermoscopic melanoma recognition and its challenges |
3.3.13. | Skin cancer: SkinVision |
3.3.14. | Skin cancer: MetaOptima |
3.3.15. | Skin cancer detection AI: Performance comparison |
3.4. | Skin Sensors for Advanced Wound Care |
3.4.1. | Trends in Wound Monitoring |
3.4.2. | Bacterial Detection: Point-of-Care Visualization |
3.4.3. | Bacterial Detection: Rapid Diagnostics |
3.4.4. | Hyperspectral Technology: HyperMed |
3.4.5. | Near-Infrared: Kent Imaging |
3.4.6. | Thermography: WoundVision |
3.4.7. | Bioimpedance: Bruin Biometrics |
3.4.8. | 3D Imaging: Infrared from Tablets |
3.4.9. | 3D Imaging: Imaging in Stereo |
3.4.10. | 3D Imaging: Point Tracking |
3.4.11. | 3D Imaging: Laser Lines |
3.4.12. | Smartphone Apps |
3.4.13. | Smartphone Apps: Swift Medical |
3.4.14. | Trends in Wound Monitoring |
3.4.15. | Relationship with Cosmetics Industry |
4. | MARKET ANALYSIS AND COMPANY PROFILES |
4.1. | Key Market Segments |
4.2. | Players and Market Segments |
4.3. | Skin Sensors in Research & Development |
4.4. | Research & Development: Key Players |
4.5. | Courage + Khazaka Electronic |
4.6. | Cortex Technology |
4.7. | Miravex |
4.8. | Miravex: Antera 3D |
4.9. | Research & Development: Business Models |
4.10. | Skin Sensors as a Marketing Tool |
4.11. | Marketing - High end players |
4.12. | Facial Imaging |
4.13. | PIE |
4.14. | Skin Sensors for Consumers at Home |
4.15. | Improvements in Cameras and Phones Critical for Success |
4.16. | Skin Sensors Drives Ecommerce |
4.17. | FitSkin |
4.18. | Skin Sensors Benefit All |
4.19. | Cutitronics |
4.20. | Haut.AI |
4.21. | Sequential Skin |
4.22. | Marketing: Business Models |
4.23. | Skin Sensor Technologies and the Subscription Model |
4.24. | How Have Brands Responded? |
4.25. | CES 2020 |
4.26. | Beauty Tech at CES 2020 |
4.27. | HiMirror |
4.28. | HiMirror: HiMirror Slide |
4.29. | lululab |
4.30. | lululab: Lumini Home |
4.31. | Revieve |
4.32. | Revieve: Partnership with CareOS |
4.33. | Perfect Corp |
4.34. | Procter and Gamble: Opté |
4.35. | L'Oréal: Perso |
5. | MARKET FORECASTS |
5.1. | Methodology |
5.2. | Market Forecast 2020 - 2030 |
5.3. | Market Forecast: Research & Development |
5.4. | Market Forecast: Marketing |
5.5. | Market Forecast: Consumers |
슬라이드 | 150 |
---|---|
전망 | 2030 |