Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
[HTML][HTML] A review on mental stress assessment methods using EEG signals
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …
physicians have developed various tools to assess the level of mental stress in its early …
A survey of machine learning techniques in physiology based mental stress detection systems
SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …
have been gaining enormous popularity and importance in recent years. Physiological …
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm
The mental workload can be estimated by monitoring different mental states from neural
activity. The spectral power of EEG and Event-Related Potentials (ERPs) are the two …
activity. The spectral power of EEG and Event-Related Potentials (ERPs) are the two …
[HTML][HTML] The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies
Whereas the link between psychosocial stress and health complications has long been
established, the influence of psychosocial stress on brain activity is not yet completely …
established, the influence of psychosocial stress on brain activity is not yet completely …
[HTML][HTML] EEG based classification of long-term stress using psychological labeling
Stress research is a rapidly emerging area in the field of electroencephalography (EEG)
signal processing. The use of EEG as an objective measure for cost effective and …
signal processing. The use of EEG as an objective measure for cost effective and …
Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia
YJ Wong, Y Shimizu, A Kamiya, L Maneechot… - Environmental …, 2021 - Springer
Rivers in Malaysia are classified based on water quality index (WQI) that comprises of six
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …
[HTML][HTML] An effective mental stress state detection and evaluation system using minimum number of frontal brain electrodes
O Attallah - Diagnostics, 2020 - mdpi.com
Currently, mental stress is a common social problem affecting people. Stress reduces
human functionality during routine work and may lead to severe health defects. Detecting …
human functionality during routine work and may lead to severe health defects. Detecting …
[HTML][HTML] A transfer learning architecture based on a support vector machine for histopathology image classification
Recently, digital pathology is an essential application for clinical practice and medical
research. Due to the lack of large annotated datasets, the deep transfer learning technique …
research. Due to the lack of large annotated datasets, the deep transfer learning technique …
[PDF][PDF] Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio
TY Wen, SAM Aris - Indones. J. Electr. Eng. Comput. Sci, 2020 - academia.edu
This paper presents an analysis of stress feature using the power ratio of frequency bands
including Alpha to Beta and Theta to Beta. In this study, electroencephalography (EEG) …
including Alpha to Beta and Theta to Beta. In this study, electroencephalography (EEG) …