Catégorie
Opinion mining
Publications associées (259)
Towards Recognizing Emotion in the Latent Space
Emotion recognition is usually achieved by collecting features (physiological signals, events, facial expressions, etc.) to predict an emotional ground truth. This ground truth is arguably unreliable due to its subjective nature. In this paper, we introduc ...
IEEE2021Model-based 3D Face Reconstruction
Christophe René Joseph Ecabert
The human face plays an essential role in social interactions as it brings information about someone's identity, state of mind, or mood. People are, by nature, very good at catching this non-spoken information. Therefore, scientists have been interested in ...
EPFL2021Types of boredom and other learning activity emotions: A person-centred investigation of inter-individual data
Whether boredom is a unitary construct or if multiple types of boredom exist is a long-standing debate. Recent research has established the existence of boredom types based on frequency observations of boredom by experience sampling. This work tries to exp ...
2021CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices
David Atienza Alonso, Maria del Carmen Sandi Perez, Adriana Arza Valdes, João Pedro de Matos Rodrigues, Niloofar Momeni
Objective: Today, stress monitoring on wearable devices is challenged by the tension between high-detection accuracy and battery lifetime driven by multimodal data acquisition and processing. Limited research has addressed the classification cost on multim ...
2021Dynamic functional brain networks underlying the temporal inertia of negative emotions
Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Gwladys Rey, Julian Gaviria
Affective inertia represents the lasting impact of transient emotions at one time point on affective state at a subsequent time point. Here we describe the neural underpinnings of inertia following negative emotions elicited by sad events in movies. Using ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2021Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching
In this paper, we propose a novel unsupervised approach for sequence matching by explicitly accounting for the locality properties in the sequences. In contrast to conventional approaches that rely on frame-to-frame matching, we conduct matching using sequ ...
IEEE COMPUTER SOC2021Re-creating Memories of Gulou: Three Temporalities and Emotions
In 2012, a project proposed by local authorities aimed to revitalise, after a century of interruption, the use of Beijing’s Bell and Drum Towers and the social traditions associated with them. As a result, more than 100 households living in 66 traditional ...
Routledge2021Using footstep-induced vibrations for occupant detection and recognition in buildings
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Occupant detection and recognition support functional goals such as security, healthcare, and energy management in buildings. Typical sensing approaches, such as smartphones and cameras, undermine the privacy of building occupants and inherently affect the ...
2021On the Recognition Performance of BioHashing on state-of-the-art Face Recognition models
Sébastien Marcel, Hatef Otroshi Shahreza
Face recognition has become a popular authentication tool in recent years. Modern state-of-the-art (SOTA) face recognition methods rely on deep neural networks, which extract discriminative features from face images. Although these methods have high recogn ...
IEEE2021Multi-Modal Recurrent Attention Networks for Facial Expression Recognition
Recent deep neural networks based methods have achieved state-of-the-art performance on various facial expression recognition tasks. Despite such progress, previous researches for facial expression recognition have mainly focused on analyzing color recordi ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020