Intelli-Helmet: An Early Prototype of a Stress Monitoring System for Military Operations

With the development of sophisticated technology, battle field is becoming more complex day by day and soldiers’ stress management has become an inevitable part of combat efficiency. Real time operation analysis of stress factors is a step towards future soldier system and can give a upper hand for making precise decision by the Commanding Officer during a military operation. Therefore, the objective of this research is to develop a early prototype of stress monitoring system named Inteli-Helmet for soldiers deployed in a military operation. The proposed system incorporates the brain waves and physiological data of (deployed) soldiers to measure their stress and facilitate the higher commander to take the best decision about a soldier’s deployment (or return back) in (from) war field. The Electroencephalography (EEG) based Brain-Computer Interfacing (BCI) technology was used to acquire the brain signals, while machine learning was adopted to facilitate the decision making process for the higher commander. A light weight evaluation study was also carried out where it has been found that, the identified stress factors and the decision assistance procedures of the proposed system were effective and efficient for taking decision during military operation by the higher command. Again, the study found that the Bayes Net algorithm showed the higher accuracy of 97.4% followed by J48 Decision Tree algorithm of 96.1% while classifying the soldiers’ stress status.