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New AI e-nose device brings digitized smell to wearable technology
The Ohio State UniversityNov 5 2026Reviewed Our sense of smell shapes how we navigate our environment, but it's a sensation that's notoriously difficult to recreate in the digital world. To overcome this challenge, researchers have developed a device that uses an artificial intelligence e-nose to
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New Tech Passes the Smell Test | Newswise
Newswise -- COLUMBUS, Ohio - Our sense of smell shapes how we navigate our environment, but it's a sensation that's notoriously difficult to recreate in the digital world. To overcome this challenge, researchers have developed a device that uses an artificial intelligence e-nose to detect and
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Ohio State University researchers created Scentronic, a wearable AI-powered e-nose device that uses machine learning algorithms to detect, analyze, and deliver odors in real time. The device achieved 73% accuracy identifying individual food scents and shows promise for medical applications and assistive technologies.
Researchers at Ohio State University have developed Scentronic, a wearable AI-powered e-nose device that brings digitized smell to wearable technology through machine learning algorithms. Published in Science Advances, the system combines an artificial intelligence e-nose that detects and analyzes odors with a wearable release system that classifies data in real time, addressing a critical gap in human-machine interfaces.
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Source: News-Medical
Jinghua Li, assistant professor of materials science and engineering at Ohio State University and senior author of the study, explained that the work combines innovations in hardware and software to bring new solutions to societal challenges. "Our long-term goal here is to incorporate these systems into compact and personalized devices," Li stated.
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The Scentronic system underwent rigorous testing with five distinct food scents: coffee, beer, red wine, orange, and chocolate cake. Field testing revealed participants could identify individual odors about 73% of the time and paired scents about 71% of the time.
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This performance demonstrates the feasibility of programmable, cost-effective odor delivery systems to create engaging multisensory experiences.While most human-machine interfaces focus on biophysical signals such as haptic, audio, and visual cues, smell remains critical for perception, flavor, and emotional experiences. The research establishes a framework for an accurate, hands-free controlled olfactory stimulation device that fills this technological void.
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Li noted that sensitivity varied among participants: "We did see that some people are more sensitive to certain odorants than others. Despite being easy to distinguish, there was still lots of variation in intensity among individuals."
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Scentronic's flexible design allowed researchers to create multiple versions serving different use cases. The wristband-type device lets users carry it and lift it to the nose when they want to detect, analyze, and deliver odors. A necklace version features five odor channels aligned like pearls on a string, opening only after receiving a signal.
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This versatility positions the AI e-nose for integration into daily accessories, including smartwatches and other smart jewelry. The ease with which these sensors adapted to various demonstrations highlights the system's seamless ability to enhance extended reality experiences and virtual reality environments beyond mere sight and sound.
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Scentronic shows significant promise for medical applications and assistive technologies. The device could reduce the need for frequent clinic visits, improve patient comfort, and enable timely, personalized care. Li emphasized the importance of olfactory experiences in health: "The loss of olfaction is related to many neurological diseases and infections. As a result, it's important that we create technologies to first decouple the secrets within our olfactory systems and then try to reconstruct them based on that information."
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Beyond neurological disease detection, potential real-world applications extend to supporting future assistive technologies, enhancing virtual training environments, and creating sensory aids in various medical contexts. The research team, supported by the National Science Foundation, the Center for Brain Injury Recovery & Discovery Pilot Award at Ohio State, and the Ohio State Alumni Grant for Graduate Research and Scholarship, continues advancing the technology.
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Li remains optimistic about the timeline for broader adoption: "There are many potential opportunities for these technologies to shine. The initial demonstrations are promising, so digitized smells may arrive sooner than you think." Next steps involve testing additional ways to incorporate the devices into people's daily wearable electronics, bringing olfactory experiences to mainstream consumer technology.
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