Automated Detection of Complex System Operator's Condition by Using Non-Contact Vital Sensing

摘要: This study is focused on the automated detection of a complex system operator's condition. For example, in this person's reaction while listening to music (or not at all) was determined. purpose, various well-known data mining tools as well ones developed previously were used. To be more specific, following techniques applied for mentioned problems: support vector machines, artificial neural networks, fuzzy logic systems and others. However, firstly each state monitored using non-contact vital sensing. Experimental results demonstrated that automatically generated rule-based classifiers can properly determine human condition (and reaction) based obtained by sensing Doppler sensors introduced earlier. Besides, these outperformed alternative tools. Thus, problems related an solved same manner.