Stress assessment based on decision fusion of EEG and fNIRS signals
… 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). …
Let … decision of kth classifier is H0 (no-stress) and uk = 1 if the decision of classifier is H1 (stress). …
Multi-level stress assessment using multi-domain fusion of ECG signal
… 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 …
a dataset with multiple stress … binary levels datasets for stress analysis. Experimental …
Emotion assessment using feature fusion and decision fusion classification based on physiological data: Are we there yet?
… 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 …
through Supervised Learning (SL), Decision Fusion (DF) and Feature Fusion (FF) techniques …
Multi-level stress assessment from ecg in a virtual reality environment using multimodal fusion
… ) 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. …
our findings on a new study on VR stress assessment, where three stress levels are assessed. …
Multimodal fusion for objective assessment of cognitive workload: A review
… 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 …
stress states. Metrics, such as … tasks or during periods of stress, this phenomenon is called …
A multimodal and signals fusion approach for assessing the impact of stressful events on Air Traffic Controllers
… 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 (…
performed three cross-validations by dividing the entire ATM scenario into four 15-minute slots (…
Emotion classification with multichannel physiological signals using hybrid feature and adaptive decision fusion
MS Yan, Z Deng, BW He, CS Zou, J Wu… - … Signal Processing and …, 2022 - Elsevier
… 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. …
and Affect Detection dataset … adaptive decision fusion strategies for emotion classification. …
Assessment of mental fatigue and stress on electronic sport players with data fusion
S Gündoğdu, ÖH Çolak, EA Doğan… - Medical & Biological …, 2021 - Springer
… 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 …
fatigue using data fusion while e-… the game is partly caused by stress and mental fatigue. HRV …
[HTML][HTML] Measurement device for stress level and vital sign based on sensor fusion
NC Basjaruddin, F Syahbarudin… - Healthcare …, 2021 - synapse.koreamed.org
… 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 …
designed for this device is shown in Figure 2. The final decision on sensor fusion for stress levels …
[PDF][PDF] A comprehensive overview of decision fusion technique in healthcare: a systematic scoping review
… 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. …
and sensor fusion… has assessed the applicability of Decision Fusion in the field of health care. …
相关搜索
- decision fusion technique
- decision fusion classification emotion assessment
- decision fusion model
- adaptive decision fusion
- eeg and fnirs signals decision fusion
- healthcare and medicine decision fusion
- mental stress assessment feature level fusion
- decision level fusion algorithm
- multi-domain fusion multi-level stress assessment
- multimodal fusion objective assessment
- data fusion assessment of mental fatigue
- multichannel physiological signals decision fusion
- decision fusion classification physiological data
- hybrid feature decision fusion
- comprehensive overview decision fusion
- scoping review protocol decision fusion