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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 …
Automated detection of shockable ECG signals: A review
Sudden cardiac death from lethal arrhythmia is a preventable cause of death. Ventricular
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
Digital twin for intelligent context-aware IoT healthcare systems
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 …
various technologies in this field to promote better health operation and patients' well being …
Digital twin perspective of fourth industrial and healthcare revolution
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 …
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
Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …
language processing (NLP). Moreover, from the attention mechanism perspective …
HealthXAI: Collaborative and explainable AI for supporting early diagnosis of cognitive decline
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 …
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
Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
and modalities, including questionnaires, verbal, and physiological signals. With its broad …
Towards machine learning as an enabler of computational creativity
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 …
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …
Mgeed: A multimodal genuine emotion and expression detection database
Multimodal emotion recognition has attracted increasing interest from academia and
industry in recent years, since it enables emotion detection using various modalities, such as …
industry in recent years, since it enables emotion detection using various modalities, such as …
Heterogeneous information network-based music recommendation system in mobile networks
In the process of the rapid development of mobile networks, music recommendation systems
(MRSs) have experienced considerable success in recent years. Conventional music …
(MRSs) have experienced considerable success in recent years. Conventional music …