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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)

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DylanPerdigao/RecognitionOfHumanActivitiesAndPosturalTransitions

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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
    

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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)

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