A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition
With the rapid development of artificial intelligence and mobile Internet, the new
requirements for human-computer interaction have been put forward. The personalized …
requirements for human-computer interaction have been put forward. The personalized …
[HTML][HTML] Information fusion and artificial intelligence for smart healthcare: a bibliometric study
With the fast progress in information technologies and artificial intelligence (AI), smart
healthcare has gained considerable momentum. By using advanced technologies like AI …
healthcare has gained considerable momentum. By using advanced technologies like AI …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
[HTML][HTML] Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables
The Emognition dataset is dedicated to testing methods for emotion recognition (ER) from
physiological responses and facial expressions. We collected data from 43 participants who …
physiological responses and facial expressions. We collected data from 43 participants who …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …
Affective computing for large-scale heterogeneous multimedia data: A survey
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
Emotion recognition using wearables: A systematic literature review-work-in-progress
S Saganowski, A Dutkowiak, A Dziadek… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to
monitor our physiological signals. In this study, we address the question whether they can …
monitor our physiological signals. In this study, we address the question whether they can …
A survey on EEG-based solutions for emotion recognition with a low number of channels
The market uptake of Brain-Computer Interface technologies for clinical and non-clinical
applications is attracting the scientific world towards the development of daily-life wearable …
applications is attracting the scientific world towards the development of daily-life wearable …
Multimodal database of emotional speech, video and gestures
People express emotions through different modalities. Integration of verbal and non-verbal
communication channels creates a system in which the message is easier to understand …
communication channels creates a system in which the message is easier to understand …