Ohio State builds a wearable system for sending smells
Ohio State researchers have paired an AI-powered e-nose with a wearable scent dispenser that can detect and recreate five familiar smells.
Ohio State researchers have built a system that can detect a smell, send a digital description of it and recreate the odour on another device. The work pairs an AI-assisted electronic nose with a scent-release platform called Scentronic, according to a report on a study published in Science Advances.12
How Scentronic works
The e-nose uses a gas-sensor array and machine learning to recognise volatile compounds in an odour. That information is transferred through a cloud server to Scentronic, which uses a five-channel scent distributor and piezoelectric atomisers to release a matching combination of aromas. The researchers built several form factors, including a wristband, handheld device and necklace.12
The team tested the system with five familiar smells: cake, beer, red wine, coffee and oranges. Sixteen participants were able to identify the recreated scents, although that test does not mean the system can reproduce every smell or match the full complexity of a real-world odour.1
What it could be used for
The researchers suggest that digital scent transmission could eventually add smell to online shopping, remote communication and entertainment. A shopper might one day sample an aroma before buying a product, while a compatible wearable could let people share a smell across a distance. The technology may also have potential in healthcare research, including work involving changes in a person’s sense of smell.12
For now, Scentronic is a research prototype rather than a consumer product. The experiment shows that a small set of odours can be detected and recreated for human testers, but it does not establish a timetable for commercial devices or prove that arbitrary smells can be transmitted accurately.
Our opinion
Scentronic is an entertaining glimpse at what a more multisensory internet might look like, but the useful story is the sensor-to-device pipeline rather than the novelty of sending someone a digital whiff of coffee. The five-scent test is promising, yet a practical product would need a much broader scent vocabulary, reliable calibration and clear safety standards before it could move beyond a laboratory demonstration.