The aim of this study is the assessment of the abilities of the MUSE headband, together with the Shimmer GSR+ device, to assess the emotional state of people ...
The aim of this study is the assessment of the abilities of the MUSE headband, together with the Shimmer GSR+ device, to assess the emotional state of people ...
The aim of this study is the assessment of the abilities of the. MUSE headband, together with the Shimmer GSR+ device, to assess the emotional state of people ...
In all classifiers we obtained accuracies ranging from 53.6% to 69.9%, confirming that these devices are able to give information about the emotional state.
Wearable devices that detect real-time and fine-grained physiological signals offer potentials for understanding the intricate mechanisms of emotions in ...
Emotion assessment using Machine Learning and low-cost wearable devices ... Using Wearable Devices for Emotion Recognition in Mobile Human- Computer ...
Feb 5, 2024 · Bibliographic details on Emotion assessment using Machine Learning and low-cost wearable devices.
Nov 13, 2023 · This study aims to examine three questions about the effectiveness of machine learning models constructed based on multimodal data from wearables, speech, and ...
Jun 19, 2024 · The EmoWear dataset provides a bridge to explore Emotion Recognition (ER) via Seismocardiography (SCG), the measurement of small cardio-respiratory induced ...
Combining machine learning and signal processing, algorithms use physiological data captured by the Feel Emotion Sensor to monitor emotions.