Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Human activity monitoring and recognition (HAMR) based on smartphone sensor data is a
field that promotes a lot of observation in current era due to its notable desire in various …

Remote monitoring of health can reduce frequent hospitalisations, diminishing the burden
on the healthcare system and cost to the community. Patient monitoring helps identify …

Background: Motion tracking technologies serve as crucial links between physical activities
and health care insights, facilitating data acquisition essential for analyzing and intervening …

Background Telecare and telehealth are important care-at-home services used to support
individuals to live more independently at home. Historically, these technologies have …

Recently, the performance of speech recognition system based on neural network has been
greatly improved. Arguably, this huge improvement can be mainly attributed to deeper and …

Human activity recognition (HAR) is an emerging research topic in pattern recognition,
especially in computer vision. The main objective of human activity recognition is to …

The ageing of the world's population combined with unhealthy lifestyles are contributing to a
major prevalence of chronic diseases. This scenario poses the challenge of providing good …

In this paper, a strides detection algorithm is proposed using inertial sensors worn on the
ankle. This innovative approach based on geometric patterns can detect both normal …