Human Activity Recognition from Basic Actions Using Finite State Machine

  • Nattapon NooritEmail author
  • Nikom Suvonvorn
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)


High-level human activity recognition is an important method for the automatic event detection and recognition application, such as, surveillance system and patient monitoring system. In this paper, we propose a human activity recognition method based on FSM model. The basic actions with their properties for each person in the interested area are extracted and calculated. The action stream with related features (movement, referenced location) is recognized using the predefined FSM recognizer modeling based on rational activity. Our experimental result shows a good recognition accuracy (86.96 % in average).


Human activity recognition Finite state machine FSM recognizer Rational activity definition 


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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  1. 1.Department of Computer Engineering, Faculty of EngineeringPrince of Songkla UniversityHatyaiThailand

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