Energy Expenditure Calculation with Physical Activity Recognition Using Genetic Algorithms

  • Y. AnandEmail author
  • P. P. Joby
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


Physical health is associated with physical activity, physical activity also ensures the wellbeing of the humans, physical activity is recognized using body worn sensors, and three Inertial Measurement units (IMU) are used to capture the data from the sensors. The activity recognition chain consists of Data Acquisition, Preprocessing, segmentation, Feature extraction, and Classification. Different levels of research are carried out on each stage. In feature selection genetic algorithms are used but the paper proposing the memetic algorithms an enhanced version of the genetic algorithms with local search in the each stage of genetic algorithm. This technique shall eliminate the chances of energy loss and consequently increase efficiency of the current system.


Genetic algorithm Human activity recognition Preprocessing Feature extraction MET 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Computer Science and EngineeringMar Baselios Christian College of Engineering and TechnologyPeermadeIndia
  2. 2.Mar Baselios Christian College of Engineering and TechnologyPeermadeIndia

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