… The global classifier used in this study for decision fusion is also SVM with RBF kernels.
Let … decision of kth classifier is H0 (no-stress) and uk = 1 if the decision of classifier is H1 (stress). …

… decision level fusion to enhance the accuracy of stress levels classification. We also introduce
a dataset with multiple stress … binary levels datasets for stress analysis. Experimental …

… In this work, we evaluate emotion in terms of low/high arousal and valence classification
through Supervised Learning (SL), Decision Fusion (DF) and Feature Fusion (FF) techniques …

… ) to a single stress level, which … stress assessment can be utilized. In this paper, we report
our findings on a new study on VR stress assessment, where three stress levels are assessed. …

… Mental stressors impact involuntary activities such as those … an indicator of the ANS and
stress states. Metrics, such as … tasks or during periods of stress, this phenomenon is called …

… In order to avoid bias in the stress assessment owing to different workload demands, we
performed three cross-validations by dividing the entire ATM scenario into four 15-minute slots (…

… An adaptive decision fusion method is then proposed to … is evaluated on the Wearable Stress
and Affect Detection dataset … adaptive decision fusion strategies for emotion classification. …

… Stress and mental fatigue are in existence constantly in daily … states of stress and mental
fatigue using data fusion while e-… the game is partly caused by stress and mental fatigue. HRV …

… a final decision based on data collected by the sensor. The fusion sensor architecture
designed for this device is shown in Figure 2. The final decision on sensor fusion for stress levels …

… as decision fusion, information fusion, symbolic fusion, distributed decisions, expert fusion,
and sensor fusion… has assessed the applicability of Decision Fusion in the field of health care. …