The field of Human Activity Recognition (HAR) is an active research in which methods are being developed to understand human behavior by interpreting features obtained from various sources, these activities can be recognized using interactive sensors that affected movement. Sensor embed elements within Smartphones or Personal Digital Assistants (PDAs). great increase smart phone users and the s...

Continual learning is an emerging research challenge in human activity recognition (HAR). As increasing number of HAR applications are deployed real-world environments, it important and essential to extend the model adapt change people’s routine. Otherwise, can become obsolete fail deliver activity-aware services. The existing has focused on detecting abnormal sensor events or new activities, h...

Abstract Recognizing human activities and monitoring population behavior are fundamental needs of our society. Population security, crowd surveillance, healthcare support living assistance, lifestyle tracking some the main applications that require recognition activities. Over past few decades, researchers have investigated techniques can automatically recognize This line research is commonly k...