A Mobile Application for Easy Design and Testing of Algorithms to Monitor Physical Activity in the Workplace

Algorithm 1

Simplified classification process in the smartphone app implementation.

Data: dataset header file, serialized classifier, unclassified time window

Result: classified time window

load dataset header;

get attributes position and properties;

deserialize WEKA trained model;

while true do

 collect data from sensors;

 if time window ready to process then

  create valid instance from feature set data;

  classify instance;

  set corrisponding label;

 end

end