HIGHLIGHTS
- who: Anuchit Jitpattanakul from the Department of Computer Engineering, Image Information and Intelligence Laboratory, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand have published the paper: An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch, in the Journal: (JOURNAL)
- what: Despite the limited identification performance, they found some useful results using wrist-worn sensors to discriminate smoking activity, focusing exclusively on smoking whilst standing. In this study, the proposed ResNetSE model was compared with five baseline CNN and RNN models, with specifications of each model given below. The F1-score of the model showed . . .
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