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 …

Purpose This paper aims to deal with the human activity recognition using human gait
pattern. The paper has considered the experiment results of seven different activities: normal …

In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …

The widespread presence of motion sensors on users' personal mobile devices has
spawned a growing research interest in human activity recognition (HAR). However, when …

This work presents the Transition-Aware Human Activity Recognition (TAHAR) system
architecture for the recognition of physical activities using smartphones. It targets real-time …

Human-centered computing is an emerging research field that aims to understand human
behavior and integrate users and their social context with computer systems. One of the …

The proliferation of smartphones has significantly facilitated people's daily life, and diverse
and powerful embedded sensors make smartphone a ubiquitous platform to acquire and …

The ubiquity of smartphones together with their ever-growing computing, networking, and
sensing powers have been changing the landscape of people's daily life. Among others …

Mobile devices are becoming increasingly sophisticated and the latest generation of smart
cell phones now incorporates many diverse and powerful sensors. These sensors include …

We present novel accelerometer-based techniques for accurate and fine-grained detection
of transportation modes on smartphones. The primary contributions of our work are an …