A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition

Y Jiang, W Li, MS Hossain, M Chen, A Alelaiwi… - Information …, 2020 - Elsevier
With the rapid development of artificial intelligence and mobile Internet, the new
requirements for human-computer interaction have been put forward. The personalized …

Automated detection of shockable ECG signals: A review

M Hammad, RN Kandala, A Abdelatey, M Abdar… - Information …, 2021 - Elsevier
Sudden cardiac death from lethal arrhythmia is a preventable cause of death. Ventricular
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …

Digital twin for intelligent context-aware IoT healthcare systems

H Elayan, M Aloqaily, M Guizani - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Since the emergence of digital and smart healthcare, the world has hastened to apply
various technologies in this field to promote better health operation and patients' well being …

Digital twin perspective of fourth industrial and healthcare revolution

S Khan, T Arslan, T Ratnarajah - Ieee Access, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is bringing revolution to our lives by a digital representation of the physical
system. DT is the creation of the joint usage of various technologies like Cyber-Physical …

Attention-based sentiment analysis using convolutional and recurrent neural network

M Usama, B Ahmad, E Song, MS Hossain… - Future Generation …, 2020 - Elsevier
Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …

HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline

E Khodabandehloo, D Riboni… - Future Generation …, 2021 - Elsevier
Our aging society claims for innovative tools to early detect symptoms of cognitive decline.
Several research efforts are being made to exploit sensorized smart-homes and artificial …

A systematic review on multimodal emotion recognition: building blocks, current state, applications, and challenges

S Kalateh, LA Estrada-Jimenez, SN Hojjati… - IEEE Access, 2024 - ieeexplore.ieee.org
Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …

Towards machine learning as an enabler of computational creativity

D Mateja, A Heinzl - IEEE Transactions on Artificial Intelligence, 2021 - ieeexplore.ieee.org
Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …

Mgeed: A multimodal genuine emotion and expression detection database

Y Wang, H Yu, W Gao, Y **a… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multimodal emotion recognition has attracted increasing interest from academia and
industry in recent years, since it enables emotion detection using various modalities, such as …

Heterogeneous information network-based music recommendation system in mobile networks

R Wang, X Ma, C Jiang, Y Ye, Y Zhang - Computer Communications, 2020 - Elsevier
In the process of the rapid development of mobile networks, music recommendation systems
(MRSs) have experienced considerable success in recent years. Conventional music …