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 …
Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
A review on automatic facial expression recognition systems assisted by multimodal sensor data
Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
Tetromino pattern based accurate EEG emotion classification model
Nowadays, emotion recognition using electroencephalogram (EEG) signals is becoming a
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …
hot research topic. The aim of this paper is to classify emotions of EEG signals using a novel …
Predicting exact valence and arousal values from EEG
F Galvão, SM Alarcão, MJ Fonseca - Sensors, 2021 - mdpi.com
Recognition of emotions from physiological signals, and in particular from
electroencephalography (EEG), is a field within affective computing gaining increasing …
electroencephalography (EEG), is a field within affective computing gaining increasing …
Measuring farm animal emotions—Sensor-based approaches
S Neethirajan, I Reimert, B Kemp - Sensors, 2021 - mdpi.com
Understanding animal emotions is a key to unlocking methods for improving animal welfare.
Currently there are no 'benchmarks' or any scientific assessments available for measuring …
Currently there are no 'benchmarks' or any scientific assessments available for measuring …
Harris hawks optimization-based clustering algorithm for vehicular ad-hoc networks
Vehicular ad-hoc network (VANET) is highly dynamic due to the high speed and sparse
distribution of vehicles on the road. This creates major challenges (eg, network …
distribution of vehicles on the road. This creates major challenges (eg, network …
NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient's symptoms
Nowadays, humanity is facing one of the most dangerous pandemics known as COVID-19.
Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the …
Due to its high inter-person contagiousness, COVID-19 is rapidly spreading across the …
A study of neuromarketing techniques for proposing cost effective information driven framework for decision making
Neuromarketing has brought a revolution in the field of marketing. The adoption of
Neuromarketing has resulted in better understanding of consumer behaviour. The thrust for …
Neuromarketing has resulted in better understanding of consumer behaviour. The thrust for …
Black hole algorithm: A comprehensive survey
This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is
considered as a recent metaheuristic. BHA has been proven to be very efficient in different …
considered as a recent metaheuristic. BHA has been proven to be very efficient in different …