Jan 28, 2020 · Quiroz et al. used walking acceleration sensor data and heart rate data from a smart watch to predict the emotional state of the subject.

Nov 1, 2022 · EDA and ECG features are fused at feature-level. Ensemble regressors are then trained and tested to predict arousal and valence values. The best ...

The result from the data collected indicates that ECG is superior at recognizing arousal emotion with accuracy up to 68.75%, whereas PPG superior at recognizing ...

The features collected from the ECG signal show efficient emotion detection with 94.19% accuracy. However, arousal strength classification is only able to reach ...

This study focuses on detecting emotional states by analyzing features of Electrocardiogram (ECG) signals, as previous research has shown that emotional stimuli ...

4 days ago · Emotion recognition enhances human-computer interaction by enabling systems to understand and respond to users' emotional states [1] .

Oct 22, 2024 · In this paper, we mainly study the emotion recognition algorithm based on ECG signals, extract the correlation feature and time-frequency domain statistical ...

This paper systematically reviews emotion recognition using cardio-based physiological signals, encompassing emotion models, emotion elicitation methods, and ...

Feb 1, 2023 · This study aims to predict emotions using biosignals collected via wrist-worn sensor and evaluate the performance of different prediction models.

Shimmer ECG and IMU sensors were used to develop a lifelogging platform to measure negative emotional states during real-life driving. The data that has been ...