Modeling of Wearable Sensor in Various Temperature and Humidity Conditions by Artificial Neural Networks

Burcu Arman Kuzubasoglu,Senem Kursun Bahadir

2021 IEEE Sensors Applications Symposium (SAS)（2021）

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摘要

In this study, the behavior of the sensor printed on the textile surface with carbon nanotube (CNT)-based ink formulated for wearable sensor applications against temperature and humidity was modeled using artificial neural networks. While humidity and temperature are defined as network input variables, the linear electrical resistance value is defined as network output variable. In the study, 167 ...

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关键词

Temperature sensors,Neurons,Humidity,Artificial neural networks,Predictive models,Carbon nanotubes,Prediction algorithms

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