Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Providing accurate and opportune information on people's activities and behaviors is one of
the most important tasks in pervasive computing. Innumerable applications can be …

Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …

A variety of real-life mobile sensing applications are becoming available, especially in the
life-logging, fitness tracking and health monitoring domains. These applications use mobile …

In this paper, we propose an acceleration-based human activity recognition method using
popular deep architecture, Convolution Neural Network (CNN). In particular, we construct a …

Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

Human activity recognition (HAR) is a promising research issue in ubiquitous and wearable
computing. However, there are some problems existing in traditional methods: 1) They treat …

The evolution of smartphones together with increasing computational power has
empowered developers to create innovative context-aware applications for recognizing user …