Pressure sensors are considerably important for continuous monitoring of human movement
and the surrounding environment to construct a caregiving system for the elderly living …

In the last interim guidance, the WHO advised the use of masks in communities, during
home care, and in healthcare settings in areas with reported cases of COVID-19. This advice …

The development of contemporary artificial intelligence (AI) methods such as artificial neural
networks (ANNs) has given researchers around the world new opportunities to address …

Smart and connected health (SCH) accelerates the development and integration of
information science and engineering approaches to support the digital transformation of …

Nowadays, various social media platforms, as well as wearable sensor devices, play a
significant role in collecting data from patients for effective healthcare monitoring. However …

We present a novel heuristic fall-detection algorithm based on combining double
thresholding of two simple features with fuzzy logic techniques. We extract the features from …

With the rapid development of artificial intelligence technology, the exploration and
application in the field of intelligent education has become a research hotspot of increasing …

This paper presents a human activity recognition framework tailored for healthcare
applications, emphasizing the essential balance between accuracy and interpretability …

Gait recognition based on multiple wearable sensors has received widespread attention in
recent years. Collecting data from various types of multimodal sensors allows for a more …

Fall detection in daily activities hinges on both feature selection and algorithm choice. This
study delves into their intricate interplay using the Sisfall dataset, testing 10 machine …