전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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인간 시각 능력 향상 기술 동향 및 발전 전망

Human Visual Ability Enhancement Technology Trends and Development Prospects

  • 정치윤 (감각확장연구실) ;
  • 김무섭 (감각확장연구실) ;
  • 윤성률 (탠저블인터페이스창의연구실) ;
  • 문경덕 (감각확장연구실) ;
  • 신형철 (휴먼증강연구실)
  • C.Y. Jeong ;
  • M.S. Kim ;
  • S.R. Yun ;
  • K.D. Moon ;
  • H.C. Shin
  • 발행 : 2024.08.01
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초록

Vision is a process in which the brain and eyes collaborate to enable sight by analyzing light reflected from objects. Vision is also the most crucial among the five basic human senses for recognizing environments. The eyes contain 70% of the sensory receptors in the body, and 90% of the information processed by the brain is visual. Currently, approximately 2.2 billion people worldwide have vision impairments. A recent study estimated that the global economic productivity losses due to vision impairment and blindness amount to approximately $410 billion. Additionally, as people age, their ability to control their vision declines, leading to presbyopia, which typically starts in their 40s. Since people heavily rely on vision in their daily lives, vision problems can significantly reduce the quality of life. Approaches to solving vision problems can be broadly categorized into visual prostheses requiring surgery, sensory substitution based on neuroplasticity, and smart glasses for presbyopia. We present the trends and future development prospects for three key areas of research: visual prostheses, visual substitution technologies, and smart glasses technologies. These areas are being explored with the aim of addressing visual impairments and blindness.

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과제정보

본 연구는 한국전자통신연구원 연구운영비지원사업(기본사업)의 일환으로 수행되었음[24ZB1200, 인간 중심의 자율지능시스템 원천기술 연구].

참고문헌

  1. F. Nahai, "The objective eye: An oxymoron?," Aesthet. Surg. J., vol. 38, no. 4, 2018.
  2. M.C. Potter et al., "Detecting meaning in RSVP at 13ms per picture," Atten., Percept. Psychophys, vol. 76, no. 2, 2014.
  3. A.P. Marques et al., "Global economic productivity losses from vision impairment and blindness," EClinicalMedicine, vol. 35, 2021.
  4. https://kosis.kr/
  5. M.U. Karkhanis et al., "Correcting presbyopia with autofocusing liquid-lens eyeglasses," IEEE Trans. Biomed. Eng., vol. 69, no. 1, 2022.
  6. H.J. Seong et al., "Changes in incidences of chronic and traumatic diseases before and after registration as visually disabled," J. Korean Ophthalmol. Soc., vol. 62, no. 8, 2021.
  7. K.A. Ramirez et al., "An update on visual prosthesis," Int. J. Retina Vitreous, vol. 73, 2023.
  8. E. Zreneer, "Fighting blindness with microelectronics," Sci. Transl. Med., vol. 5, no. 210, 2013.
  9. L. Yanovitch et al., "A new high-resolution three용어해설 dimensional retinal implant: System design and preliminary human results," bioRxiv, 2022.
  10. http://www.irmedtech.com/
  11. M.A. Petoe et al., "A second-generation(44-channel) suprachoroidal retinal prosthesis: Interim clinical trial results," Trans. Vis. Sci. Technol., vol. 10, no. 10, 2021.
  12. P.B.L. Meijer, "An experimental system for auditory image representations," IEEE Trans. Biomed. Eng., vol. 39, no. 2, 1992, pp. 112-121.
  13. M. Kim et al., "Deep learning-based optimization of visual-auditory sensory substitution," IEEE Access, vol. 11, 2023.
  14. https://www.wicab.com/
  15. S. Abboud et al., "A number-form area in the blind," Nat. Commun., vol. 6, no. 1, 2015.
  16. S. Abboud et al., "EyeMusic: Introducing a 'visual' colorful experience for the blind using auditory sensory substitution," Restor. Neurol. Neurosci., vol. 32, 2014, pp. 247-257.
  17. D. Gomez et al., "See ColOr: An extended sensory substitution device for the visually impaired," J. Assist. Technol., vol. 8, no. 2, 2014.
  18. C. Jicol et al., "Efficiency of sensory substitution devices alone and in combination with self-motion for spatial navigation in sighted and visually impaired," Front. Psychol., vol. 11, 2020.
  19. M. Kim et al., "Analysis and validation of cross-modal generative adversarial network for sensory substitution," Int. J. Environ. Res. Public Health, vol. 18. no. 12, 2021.
  20. N. Padmanaban et al., "Autofocals: Evaluating gaze-contingent eyeglasses for presbyopes," Sci. Adv., vol. 5, no. 6, 2019.
  21. R. Agarwala et al., "Evaluation of a liquid membrane-based tunable lens and a solid-state LIDAR camera feedback system for presbyopia," Biomed. Opt. Express, vol. 13, no. 11, 2022.
  22. 의학신문, "액체렌즈 활용 오토포커싱 스마트 안경 개발 성공," 2023. 8. 17.