Activity recognition plays an essential role in bridging the gap between the low-level sensor
data and the high-level applications in ambient-assisted living systems. With the aim to …

Activity recognition plays an important role for pervasive healthcare such as health
monitoring, assisted living and pro-active services. Despite of the continuous and …

This paper presents a wearable inertial sensor network and its associated activity
recognition algorithm for accurately recognizing human daily and sport activities. The …

Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …

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 ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

Activity/gesture recognition using wearable motion sensors, also known as inertial
measurement units (IMUs), provides an important context for many ubiquitous sensing …

Smart phones equipped with a rich set of sensors are explored as alternative platforms for
human activity recognition in the ubiquitous computing domain. However, there exist …

This study proposed a wearable device capable of recognizing six human daily activities
(walking, walking upstairs, walking downstairs, sitting, standing, and lying) through a deep …

Smartphone-based activity recognition (SP-AR) recognizes users' activities using the
embedded accelerometer sensor. Only a small number of previous works can be classified …