Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

There has been an upsurge recently in investigating machine learning techniques for activity
recognition (AR) problems as they have been very effective in extracting and learning …

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

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

The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

We deployed 72 sensors of 10 modalities in 15 wireless and wired networked sensor
systems in the environment, in objects, and on the body to create a sensor-rich environment …

This study provides a comparative assessment on the different techniques of classifying
human activities performed while wearing inertial and magnetic sensor units on the chest …

With the promising applications in e-Health and entertainment services, wireless body area
network (WBAN) has attracted significant interest. One critical challenge for WBAN is to track …

Human activity recognition can be exploited to benefit ubiquitous applications using
sensors. Current research on sensor-based activity recognition is mainly using data-driven …

In this paper, we introduce a system of integrating activity recognition and collecting nursing
care records at nursing care facilities as well as activity labels and sensors through …