[HTML][HTML] A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues
In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …
Network (DNN) models have become more attractive in the healthcare system given the …
Methods for evaluating emotions evoked by food experiences: A literature review
Besides sensory characteristics of food, food-evoked emotion is a crucial factor in predicting
consumer's food preference and therefore in develo** new products. Many measures …
consumer's food preference and therefore in develo** new products. Many measures …
A review of methods for sleep arousal detection using polysomnographic signals
Multiple types of sleep arousal account for a large proportion of the causes of sleep
disorders. The detection of sleep arousals is very important for diagnosing sleep disorders …
disorders. The detection of sleep arousals is very important for diagnosing sleep disorders …
A multichannel convolutional neural network architecture for the detection of the state of mind using physiological signals from wearable devices
Detection of the state of mind has increasingly grown into a much favored study in recent
years. After the advent of smart wearables in the market, each individual now expects to be …
years. After the advent of smart wearables in the market, each individual now expects to be …
Driver state and behavior detection through smart wearables
Integrating driver, in-cabin, and outside environ-ment's contextual cues into the vehicle's
decision making is the centerpiece of semi-automated vehicle safety. Multiple systems have …
decision making is the centerpiece of semi-automated vehicle safety. Multiple systems have …
Video-based abnormal driving behavior detection via deep learning fusions
Video-based abnormal driving behavior detection is becoming more and more popular for
the time being, as it is highly important in ensuring safeties of drivers and passengers in the …
the time being, as it is highly important in ensuring safeties of drivers and passengers in the …
Real-time personalized physiologically based stress detection for hazardous operations
When training for hazardous operations, real-time stress detection is an asset for optimizing
task performance and reducing stress. Stress detection systems train a machine-learning …
task performance and reducing stress. Stress detection systems train a machine-learning …
A deep learning approach to recognize cognitive load using ppg signals
Physiological data are nowadays frequently used to recognize the affective state of subjects
while performing different tasks. Automatic recognition of a stressful state as a consequence …
while performing different tasks. Automatic recognition of a stressful state as a consequence …
Hybrid scattering-LSTM networks for automated detection of sleep arousals
Objective: Early detection of sleep arousal in polysomnographic (PSG) signals is crucial for
monitoring or diagnosing sleep disorders and reducing the risk of further complications …
monitoring or diagnosing sleep disorders and reducing the risk of further complications …
[PDF][PDF] Emotion recognition with short-period physiological signals using bimodal sparse autoencoders.
With the advancement of human-computer interaction and artificial intelligence, emotion
recognition has received significant research attention. The most commonly used technique …
recognition has received significant research attention. The most commonly used technique …