The increasing diffusion of tiny wearable devices and, at the same time, the advent of
machine learning techniques that can perform sophisticated inference, represent a valuable …

Human activity recognition based on wearable sensor data has been an attractive research
topic due to its application in areas such as healthcare and smart environments. In this …

Abstract Human Activity Recognition (HAR) has been attracting research attention because
of its importance in applications such as health monitoring, assisted living, and active living …

Edge computing aims to integrate computing into everyday settings, enabling the system to
be context-aware and private to the user. With the increasing success and popularity of deep …

Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …

Human physical activity recognition based on wearable sensors has applications relevant to
our daily life such as healthcare. How to achieve high recognition accuracy with low …

Human activity recognition and deep learning are two fields that have attracted attention in
recent years. The former due to its relevance in many application domains, such as ambient …

Human Activity Recognition (HAR) based on inertial data is an increasingly diffused task on
embedded devices, from smartphones to ultra low-power sensors. Due to the high …

Activity recognition plays a critical role in various applications, such as medical monitoring
and rehabilitation. Deep learning has recently made great development in the wearable …

Human Activity Recognition (HAR) has become an increasingly popular task for embedded
devices such as smartwatches. Most HAR systems for ultra-low power devices are based on …