Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
What engineering technology could do for quality of life in Parkinson's disease: a review of current needs and opportunities
JA Stamford, PN Schmidt… - IEEE journal of biomedical …, 2015 - ieeexplore.ieee.org
Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity,
bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (eg …
bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (eg …
Graph-based facial affect analysis: A review
As one of the most important affective signals, facial affect analysis (FAA) is essential for
developing human-computer interaction systems. Early methods focus on extracting …
developing human-computer interaction systems. Early methods focus on extracting …
Meta-analysis of the first facial expression recognition challenge
Automatic facial expression recognition has been an active topic in computer science for
over two decades, in particular facial action coding system action unit (AU) detection and …
over two decades, in particular facial action coding system action unit (AU) detection and …
[HTML][HTML] A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
ES Salama, RA El-Khoribi, ME Shoman… - Egyptian Informatics …, 2021 - Elsevier
Nowadays, human emotion recognition is a mandatory task for many human machine
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
interaction fields. This paper proposes a novel multi-modal human emotion recognition …
Many are the ways to learn identifying multi-modal behavioral profiles of collaborative learning in constructivist activities
Understanding the way learners engage with learning technologies, and its relation with
their learning, is crucial for motivating design of effective learning interventions. Assessing …
their learning, is crucial for motivating design of effective learning interventions. Assessing …
Facial action recognition combining heterogeneous features via multikernel learning
This paper presents our response to the first international challenge on facial emotion
recognition and analysis. We propose to combine different types of features to automatically …
recognition and analysis. We propose to combine different types of features to automatically …
A survey on human emotion recognition approaches, databases and applications
C Vinola, K Vimaladevi - ELCVIA: electronic letters on computer vision …, 2015 - ddd.uab.cat
This paper presents the various emotion classification and recognition systems which
implement methods aiming at improving Human Machine Interaction. The modalities and …
implement methods aiming at improving Human Machine Interaction. The modalities and …
Towards personalised gaming via facial expression recognition
In this paper we propose an approach for personalising the space in which a game is played
(ie, levels) dependent on classifications of the user's facial expression—to the end of …
(ie, levels) dependent on classifications of the user's facial expression—to the end of …
Understanding discrete facial expressions in video using an emotion avatar image
Existing video-based facial expression recognition techniques analyze the geometry-based
and appearance-based information in every frame as well as explore the temporal relation …
and appearance-based information in every frame as well as explore the temporal relation …