59 citations · 62 across the 3 of their papers we have counts for
7 papers
A Transformer Architecture for Stress Detection from ECG
Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg +2
Electrocardiogram (ECG) has been widely used for emotion recognition. This paper presents a deep neural network based on convolutional layers and a transformer mechanism to detect…
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition
Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg +2
Classification of human emotions can play an essential role in the design and improvement of human-machine systems. While individual biological signals such as Electrocardiogram (E…
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
Pritam Sarkar, Ali Etemad
Electrocardiogram (ECG) is the electrical measurement of cardiac activity, whereas Photoplethysmogram (PPG) is the optical measurement of volumetric changes in blood circulation. W…
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data
Kyle Ross, Paul Hungler, Ali Etemad
With recent developments in smart technologies, there has been a growing focus on the use of artificial intelligence and machine learning for affective computing to further enhance…
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar, Ali Etemad
We exploit a self-supervised deep multi-task learning framework for electrocardiogram (ECG) -based emotion recognition. The proposed solution consists of two stages of learning a)…
Self-supervised Learning for ECG-based Emotion Recognition
Pritam Sarkar, Ali Etemad
We present an electrocardiogram (ECG) -based emotion recognition system using self-supervised learning. Our proposed architecture consists of two main networks, a signal transforma…