Virtual Worlds Gain Missing Sense

⊲ Discover Magazine ⊳ Researchers at Ohio State University and Zhejiang Laboratory have developed Scentronic, an AI-assisted system that detects odours and recreates them remotely. An electronic nose of metal oxide sensors identifies volatile compounds, with machine learning classifying patterns before scent data travels via Wi-Fi and a cloud server to wearable dispensers built as a necklace, wristband or handheld unit. Each uses a five-channel piezoelectric atomiser. In tests published in Science Advances, 14 volunteers identified transmitted smells 73 per cent of the time. Proposed uses include virtual worlds, online shopping and medical diagnosis.
◂ A five-channel piezoelectric atomiser limits Scentronic to a small scent library, yet even that could add a missing cue to many immersive training environments. ▸
⊲ Featured Image – Scentronic’s remote odor-sharing workflow: (A) AI-assisted system overview; (B) e-nose sensors detect and classify odors using machine learning, transmitting results online; (C) a bio-integrated olfactory interface recreates odors with adjustable composition and intensity – Scentronic / Science Advances ⊳
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