A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Graph theoretical analysis of eeg functional connectivity patterns and fusion with physiological signals for emotion recognition
VR Xefteris, A Tsanousa, N Georgakopoulou… - Sensors, 2022 - mdpi.com
Emotion recognition is a key attribute for realizing advances in human–computer interaction,
especially when using non-intrusive physiological sensors, such as electroencephalograph …
especially when using non-intrusive physiological sensors, such as electroencephalograph …
Deep Representation Learning for Multimodal Emotion Recognition Using Physiological Signals
Physiological signal analysis has gained a lot of interest in recent years and has been used
in a variety of fields including emotion recognition, activity recognition, and health …
in a variety of fields including emotion recognition, activity recognition, and health …
Personalized feature importance ranking for affect recognition from behavioral and physiological data
Designing affect-based personalized technology involves dealing with large datasets.
Machine learning (ML) algorithms are employed to predict affect and similar human factors …
Machine learning (ML) algorithms are employed to predict affect and similar human factors …
User Modeling for Adaptive Virtual Reality Experiences: Personalization from Behavioral and Physiological Time Series
L Quintero - 2023 - diva-portal.org
Research in human-computer interaction (HCI) has focused on designing technological
systems that serve a beneficial purpose, offer intuitive interfaces, and adapt to a person's …
systems that serve a beneficial purpose, offer intuitive interfaces, and adapt to a person's …
[PDF][PDF] KOMBINASI FEATURE SELECTION FISHER SCORE DAN PRINCIPAL COMPONENT ANALYSIS UNTUK KLASIFIKASI CERVIX DYSPLASIA (PCA)
KA Widagdo, K Adi, R Gernowo - Jurnal Teknologi Informasi dan Ilmu …, 2020 - academia.edu
Abstrak Pengamatan citra Pap Smear merupakan langkah penting dalam mendiagnosis
awal terhadap gangguan servik. klasifikasi citra pap smear merupakan tahapan penting …
awal terhadap gangguan servik. klasifikasi citra pap smear merupakan tahapan penting …