The Innovation of Autonomous Driving: Cars Read My Brainwaves and Drive / What Is the Brain Engineering Technology That Will Explode a 30 Trillion Won Market? | Hanyang University Professor Lim Chang-hwan

자율 주행의 혁신.. 자동차가 내 뇌파를 읽고 운전한다 / 30조 시장 터지게 될 뇌공학 기술의 정체는? | 한양대학교 임창환 교수
Watch on YouTube ↗  |  January 01, 2026 at 10:01  |  25:29  |  815 Money Talk (815머니톡)
Speakers
Lim Chang-hwan — Professor of Biomedical Engineering, Hanyang University
Park Geun-hyung — Director

Summary

Professor Lim Chang-hwan of Hanyang University explains how brain-computer interface technology could be applied to mobility, autonomous driving, metaverse experiences, and driver monitoring. He cites Neuralink's commercialization targets and a roughly 30 trillion won market opportunity, while also discussing medical-device limits, motion sickness, and data-privacy needs. The discussion is mostly educational and technology-focused, with limited direct investment advice.

  • BCI can connect implantable brain chips, semi-autonomous vehicles, in-car biometric sensing, and human-centered vehicle design.
  • Neuralink-style BCI is targeted for 20,000 implants per year by 2030 at about $100,000 per patient, implying a multi-trillion-won market.
  • Hyundai Mobis has tested an ear-based brainwave drowsiness sensor on public buses, reducing drowsiness by about 30%.
  • The speaker sees strong potential in driver-state monitoring for safety and mental-health care.
  • BCI-enabled avatars and sensory feedback could make metaverse experiences more immersive, especially for disabled users.
  • Motion sickness and passenger monitoring are framed as key challenges for autonomous vehicle adoption.
  • FDA approval limits and medical indications make consumer brain chips unlikely near-term.
  • Brain and biometric data privacy favors on-device or on-vehicle AI processing.
Ideas
Lim Chang-hwan Professor of Biomedical Engineering, Hanyang University 0:00
BCI market may reach 30T won.
Neuralink-style implantable BCI is moving from clinical research toward commercialization. Elon Musk targets 20,000 implants per year by 2030 at about $100,000 per patient, implying roughly 3 trillion won; globally 100,000-200,000 implants per year could create a market around 30 trillion won. Demand is already sufficient with over 10,000 applicants, and expansion from severe disease into vision, hearing, Parkinson's, and eventually elderly mobility could make the market grow explosively.
Lim Chang-hwan Professor of Biomedical Engineering, Hanyang University 2:19
Automotive BCI improves safety and driver monitoring.
BCI can be applied in mobility in three ways: implantable BCI can let disabled patients control semi-autonomous vehicles; in-car biometric sensors can monitor attention, fatigue, emotion, and health, warning or revoking control; and brain signals can guide human-centered interior and interface design. The speaker thinks driver-state monitoring and safety systems have a very strong outlook, especially as autonomous cars make everyone a passenger.
Lim Chang-hwan Professor of Biomedical Engineering, Hanyang University 8:24
BCI enables immersive metaverse for disabled users.
Advanced Neuralink-like BCI could make Ready Player One-style experiences real: users could control avatars by thought, receive sensory and proprioceptive feedback from virtual bodies, and disabled patients could experience the metaverse more fully than in physical life. This creates a differentiated BCI-enabled metaverse use case, though it remains early-stage.
Lim Chang-hwan Professor of Biomedical Engineering, Hanyang University 10:25
Hyundai Mobis drowsiness sensor shows commercial traction.
Hyundai Mobis announced an ear-set system that measures brainwaves in the ear to detect drowsiness and reduced attention and warn the driver. A Gyeonggi public bus pilot reduced drowsiness by about 30%, and a second version is under development. This gives Hyundai Mobis a commercial edge in safety-related brain-engineering applications for mobility.
Up Next

This 815 Money Talk (815머니톡) video, published January 01, 2026, features Lim Chang-hwan discussing Brain-computer interface (BCI) / neurotech, Automotive BCI / in-cabin sensing, METV, 012330.KS. 4 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Lim Chang-hwan  · Tickers: Brain-computer interface (BCI) / neurotech, Automotive BCI / in-cabin sensing, METV, 012330.KS