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Rita00/RecognitionOfHumanActivitiesAndPosturalTransitions

Data analysis in the domains of time and frequency, using signals collected from mobile phone accelerometers in order to classify/identify the activity performed, corresponding to 12 different movements (UC, 2020)

RecognitionOfHumanActivitiesAndPosturalTransitions

Data analysis in the domains of time and frequency, using signals collected from mobile phone accelerometers in order to classify/identify the activity performed, corresponding to 12 different movements, namely:

  • Dynamic

    WALKING
    
    WALKING_UPSTAIRS
    
    WALKING_DOWNSTAIRS
    
  • Static

    SITTING
    
    STANDING
    
    LAYING
    
  • Transition

    STAND_TO_SIT
    
    SIT_TO_STAND
    
    SIT_TO_LIE
    
    LIE_TO_SIT
    
    STAND_TO_LIE
    
    LIE_TO_STAND
    

Languages

MATLAB100.0%

Contributors

Created April 9, 2021
Updated August 7, 2021
Rita00/RecognitionOfHumanActivitiesAndPosturalTransitions | GitHunt