Ohio State University and Zhejiang Laboratory Develop AI System for Digital Smell Experience
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- InterestingEngineering.com
Researchers at Ohio State University and Zhejiang Laboratory have created an experimental system that connects odor sensors to wearable scent dispensers via the internet. This innovative technology utilizes artificial intelligence to identify and release smells, such as coffee, near a user's nose, marking a significant advancement in digital sensory experiences.
The system combines chemical sensing, machine learning, and wearable devices, allowing participants to identify individual odors with 73 percent accuracy and combinations with about 71 percent accuracy during laboratory tests. This development is crucial as it addresses the unique challenges of recreating smells, which differ from visual and auditory reproduction.
Ohio State University and Zhejiang Laboratory tested five distinct odors: beer, cake, coffee, orange, and red wine. The system demonstrated a response time of 0.6 seconds to scent signals, although more complex odors required additional time for accurate classification. No further timeline was disclosed at the time of publication.
Original report
AI-powered wearables recreate five food smells sent over the internet
InterestingEngineering.com · Atharva GosaviThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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