Printed 1d Perovskite Photodetector for Indoor/Outdoor Non‐Contact and Real‐Time Sports Training Monitoring

Author:

Zhang Jiabing12,Xie Hongfei34,Hu Yuming34,Sun Wei45,Lv Mengfei6,Han Teng45,Tian Xiaolin1,Wang Shuang1,Su Meng34ORCID

Affiliation:

1. Xidian University Xi'an 710071 P. R. China

2. Graduate School of Medical School of Chinese PLA Hospital Beijing Beijing 100853 P. R. China

3. Key Laboratory of Green Printing Institute of Chemistry Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology Beijing National Laboratory for Molecular Sciences (BNLMS) Beijing 100190 P. R. China

4. University of Chinese Academy of Sciences Beijing 100049 P. R. China

5. Institute of Software Chinese Academy of Sciences Beijing 100190 P. R. China

6. Faculty of Information Technology Beijing University of Technology Beijing 100124 P. R. China

Abstract

AbstractAs people increased emphasis on health problems, various wearable electronic devices are developed for sport‐related activity monitoring. However, these reported sensors must be tightly attached on the body to record the photonic, electronic even chemical changes during exercise. Poor user experience hinders the rapid application of wearable sensors. Here, an all‐printed perovskite photodetector for achieving non‐contact sports motion monitoring is developed. 1D MAPbBr3 arrays are printed with uniform orientation and strict crystallization via the droplet‐manipulation printing strategy. Under the guidance of microarrays on the template, the perovskite‐loaded droplet can be self‐shaped into the linear confined liquid space for the next crystallization. 1D perovskite photodetectors with high responsivity (R, MAX: 198 A W−1) and detectivity (D*, MAX: 6.64 × 1013 Jones) can be utilized to detect changes in the ambient light intensity under the body during the push‐up movement, achieving non‐contact real‐time monitoring of motions. The average accuracy of printed photodetectors to classify the collected push‐up signals reaches 97.40%. This strategy provides a reference for further improving the sensing performance of wearable sensors, which also extends the application of sports monitoring.

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Beijing National Laboratory for Molecular Sciences

National Key Research and Development Program of China

Publisher

Wiley

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