Wearable sensor technology has gradually extended its usability into a wide range of well-
known applications. Wearable sensors can typically assess and quantify the wearer's …

Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …

Wearable devices and smart sensors are increasingly adopted to monitor the behaviors of
human and artificial agents. Many applications rely on the capability of such devices to …

Human activity recognition (HAR) has become an interesting topic in healthcare. This
application is important in various domains, such as health monitoring, supporting elders …

The objective of this article is to develop a methodology for selecting the appropriate number
of clusters to group and identify human postures using neural networks with unsupervised …

This paper explores human activities recognition from sensor-based multi-dimensional
streams. Recently, deep learning-based methods such as LSTM and CNN have achieved …

Stroke survivors often suffer from movement impairments that significantly affect their daily
activities. The advancements in sensor technology and IoT have provided opportunities to …

Recent years have witnessed the increasing literature on using smart insoles in health and
well-being, and yet, their capability of daily living activity recognition has not been reviewed …

Activity Recognition (AR) is a method to identify a certain activity from the set of actions. It is
commonly used to recognize a set of Activities of Daily Living (ADLs), which are performed …