Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

Rapid growth of the aged population has caused an immense increase in the demand for
healthcare services. Generally, the elderly are more prone to health problems compared to …

In the past years, traditional pattern recognition methods have made great progress.
However, these methods rely heavily on manual feature extraction, which may hinder the …

In the case of a smart home, the ability to recognize daily activities depends primarily on the
strategy used for selecting the appropriate features related to these activities. To achieve the …

A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …

Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …

Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

With the development of network-enabled sensors and artificial intelligence algorithms,
various human-centered smart systems are proposed to provide services with higher quality …

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 …

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