With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains such as security and surveillance, human-robot interaction, and entertainment. Even though a number of surveys and review papers have been published, there is a lack of HAR overview paper focusing on healthcare applications that use wearable sensors. Therefore, we fill in the gap by presenting this overview paper. In particular, we present our emerging HAR projects for healthcare: identification of human activities for intensive care unit (ICU) patients and Duchenne muscular dystrophy (DMD) patients. Our HAR systems include hardware design to collect sensor data from ICU patients and DMD patients and accurate AI models to recognize patients' activities. This overview paper covers considerations and settings for building a HAR healthcare system, including sensor factors, AI model comparison, and system challenges.
翻译:随着互联网(IoT)和人工智能技术的迅速发展,人类活动识别(HAR)已应用于多个领域,如安全和监视、人类机器人互动和娱乐等,尽管已经发表了一些调查和审查文件,但缺乏侧重于使用可磨损感应器的保健应用的HAR概览文件,因此,我们通过介绍本概览文件填补了这一空白。我们特别介绍了我们新出现的HAR保健项目:确定特护单位病人和Duchenne肌肉萎缩病人的人类活动。我们的HAR系统包括硬件设计,以收集国际协调单位病人和DMD病人的传感器数据,以及准确的AI模型,以确认病人的活动。本概览文件涵盖了建立HAR保健系统的各种考虑和背景,包括传感器因素、AI模型比较和系统挑战。