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.
View on arXiv