Washing hands properly and frequently is the simplest and most cost-effective interventions to prevent the spread of infectious diseases. People are often ignorant about proper handwashing in different situations and do not know if they wash hands properly. Smartwatches are found to be effective for assessing the quality of handwashing. However, the existing smartwatch based systems are not comprehensive enough in terms of achieving accuracy as well as reminding people to handwash and providing feedback to the user about the quality of handwashing. On-device processing is often required to provide real-time feedback to the user, and so it is important to develop a system that runs efficiently on low-resource devices like smartwatches. However, none of the existing systems for handwashing quality assessment are optimized for on-device processing. We present iWash, a comprehensive system for quality assessment and context-aware reminder for handwashing with real-time feedback using smartwatches. iWash is a hybrid deep neural network based system that is optimized for on-device processing to ensure high accuracy with minimal processing time and battery usage. Additionally, it is a context-aware system that detects when the user is entering home using a Bluetooth beacon and provides reminders to wash hands. iWash also offers touch-free interaction between the user and the smartwatch that minimizes the risk of germ transmission. We collected a real-life dataset and conducted extensive evaluations to demonstrate the performance of iWash. Compared to the existing handwashing quality assessment systems, we achieve around 12% higher accuracy for quality assessment, as well as we reduce the processing time and battery usage by around 37% and 10%, respectively.

中文翻译：

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iWash：传染病背景下具有实时反馈的智能手表洗手质量评估和提醒系统

正确和经常洗手是预防传染病传播的最简单、最具成本效益的干预措施。人们往往不知道在不同情况下正确洗手，也不知道自己是否正确洗手。发现智能手表可有效评估洗手质量。然而，现有的基于智能手表的系统在实现准确性、提醒人们洗手以及向用户提供有关洗手质量的反馈方面不够全面。通常需要在设备上进行处理以向用户提供实时反馈，因此开发一个可以在智能手表等低资源设备上高效运行的系统非常重要。然而，现有的洗手质量评估系统都没有针对设备上的处理进行优化。我们展示了 iWash，这是一个综合系统，用于质量评估和使用智能手表实时反馈的洗手环境感知提醒。iWash 是一种基于混合深度神经网络的系统，针对设备上的处理进行了优化，以确保以最少的处理时间和电池使用量确保高精度。此外，它是一个上下文感知系统，可使用蓝牙信标检测用户何时进入家中并提供洗手提醒。iWash 还提供用户和智能手表之间的无接触交互，最大限度地降低细菌传播的风险。我们收集了一个真实的数据集并进行了广泛的评估，以展示 iWash 的性能。与现有的洗手质量评估系统相比，我们的质量评估准确度提高了约 12%，