A research team from Osaka Metropolitan University and the University of Tokyo, including Associate Professor Kohei Nakajima from the Graduate School of Information Science and Technology, developed an attachable and lightweight sensor sheet that features a flexible resistive sensor and a reservoir computing analysis.
The new multi-tasking weather sensor simultaneously measures rain volume and wind speed. Incorporating machine learning to analyze the output data, a single sensor can provide localized weather data in a timely manner, improving disaster preparedness.
The reserch was published online in the Advanced Materials on May 13th, 2022.
Click for full story from Osaka Metropolitan University's press release.
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