Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework
Personalized Watch-Based Fall Detection Using a Collaborative Edge-Cloud Framework
复制标题
使用协作边缘云框架进行基于手表的个性化跌倒检测
DOI：
10.1142/s0129065722500484
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发表时间：
2022
影响因子：
8
通讯作者：
Chee, Kyong Hee
中科院分区：
文献类型：
--
作者：
Ngu, Anne Hee;Metsis, Vangelis;Coyne, Shuan;Srinivas, Priyanka;Salad, Tarek;Mahmud, Uddin;Chee, Kyong Hee
当前的大多数智能健康应用程序都部署在与智能手表配对的智能手机上。手机用作计算平台或连接到云的网关，而手表主要用作数据传感设备。在老年人的跌倒检测应用程序中，这种设置不是很实用，因为它要求用户在做日常家务时始终保持他们的手机在附近。当一个人福尔斯跌倒时，在恐慌的时刻，可能很难定位手机，以便与跌倒检测应用程序进行交互，以指示他们是否没事或需要帮助。本文展示了使用协作边缘云框架在智能手表设备上运行基于深度学习的实时个性化跌倒检测系统的可行性。特别是，我们提出了我们用于协作框架的软件架构，演示了我们如何自动化跌倒检测管道，在手表的小屏幕上设计适当的UI，并利用智能手表有限的计算和存储资源实现持续数据收集和个性化过程自动化的策略。我们还提出了这样一个系统的可用性与9个现实世界中的老年人参与者。
The majority of current smart health applications are deployed on a smartphone paired with a smartwatch. The phone is used as the computation platform or the gateway for connecting to the cloud while the watch is used mainly as the data sensing device. In the case of fall detection applications for older adults, this kind of setup is not very practical since it requires users to always keep their phones in proximity while doing the daily chores. When a person falls, in a moment of panic, it might be difficult to locate the phone in order to interact with the Fall Detection App for the purpose of indicating whether they are fine or need help. This paper demonstrates the feasibility of running a real-time personalized deep-learning-based fall detection system on a smartwatch device using a collaborative edge-cloud framework. In particular, we present the software architecture we used for the collaborative framework, demonstrate how we automate the fall detection pipeline, design an appropriate UI on the small screen of the watch, and implement strategies for the continuous data collection and automation of the personalization process with the limited computational and storage resources of a smartwatch. We also present the usability of such a system with nine real-world older adult participants.