Abstract
In order to study the application of sensors in intelligent clothing design, the artificially intelligent cutting-edge technology -machine learning method was proposed to combine a variety of signals of non-contact sensors in several different positions. Higher accuracy was achieved, while maintaining the comfort brought by a non-contact sensor. The experimental results showed that the proposed strategy focused on the combination of clothing design technology and artificial intelligence technology. As a result, without changing the sensor materials, it enhances the comfort and precision of clothing, eliminates the comfort reduced by sensor close to the skin, and transforms inaccurate measurement into accurate measurement.
Highlights
One of the most important applications of intelligent clothing is currently based on the daily health care of people's sensors embedded in clothing, for real-time detection to the body's biological signal changes, such as body temperature, pulse, blood pressure and respiratory status [1]
Taking the intelligent clothing used for temperature measurement an example, we study noncontact sensor effect and improvement of accuracy by the method based on clothing design technology and artificial intelligence
A design strategy of intelligent temperature monitoring clothing based on non - contact sensor is proposed
Summary
One of the most important applications of intelligent clothing is currently based on the daily health care of people's sensors embedded in clothing, for real-time detection to the body's biological signal changes, such as body temperature, pulse, blood pressure and respiratory status [1]. There are two important factors in the design of infant intelligent clothing, one is the accuracy of intelligent clothing prediction disease, and the other is the comfort of clothing [2,3]. If the sensor is not in direct contact with the skin, it will reduce greatly the quality of signal and accuracy of prediction. It is a key issue in the field how to improve the design method and how to improve the prediction accuracy of intelligent clothing in the case of guaranteeing good comfort [4]
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