Human Activity Recognition based on Envolving Fuzzy Systems Articles uri icon

publication date

  • October 2010

start page

  • 355

end page

  • 364

issue

  • 5

volume

  • 20

international standard serial number (ISSN)

  • 0129-0657

abstract

  • Environments equipped with intelligent sensors can be of much help if they can recognize the actions or activities of their users. If this activity recognition is done automatically, it can be very useful for
    different tasks such as future action prediction, remote health
    monitoring, or interventions. Although there are several approaches for
    recognizing activities, most of them do not consider the changes in how a
    human performs a specific activity. We present an automated approach to
    recognize daily activities from the sensor readings of an intelligent
    home environment. However, as the way to perform an activity is usually
    not fixed but it changes and evolves, we propose an activity recognition
    method based on Evolving Fuzzy Systems.