Paper

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

We propose UWash, an intelligent solution upon smartwatches, to assess handwashing for the purpose of raising users' awareness and cultivating habits in high-quality handwashing. UWash can identify the onset/offset of handwashing, measure the duration of each gesture, and score each gesture as well as the entire procedure in accordance with the WHO guidelines. Technically, we address the task of handwashing assessment as the semantic segmentation problem in computer vision, and propose a lightweight UNet-like network, only 496KBits, to achieve it effectively. Experiments over 51 subjects show that UWash achieves the accuracy of 92.27\% on sample-wise handwashing gesture recognition, $<$0.5 \textit{seconds} error in onset/offset detection, and $<$5 out of 100 \textit{points} error in scoring in the user-dependent setting, while remains promising in the cross-user evaluation and in the cross-user-cross-location evaluation.

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