Search Results for author: Nadia Bianchi-Berthouze

Found 14 papers, 7 papers with code

Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs

no code implementations20 Dec 2022 Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-de-Maria, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez

Because there is no dedicated benchmark database to analyse this correlation, we considered one of the specific circumstances that potentially influence a person's biometrics during daily activities in this study and classified pain level and pain-related behaviour in the EmoPain database.

Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

1 code implementation21 Sep 2022 Jitesh Joshi, Nadia Bianchi-Berthouze, Youngjun Cho

Limited availability of datasets from unconstrained settings further limits the use of the state-of-the-art segmentation networks, loss functions and learning strategies which have been built and validated for RGB images.

Contrastive Learning Image Augmentation +3

Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth

no code implementations8 Sep 2021 Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze

For such issues, we propose a novel Learning to Agreement (Learn2Agree) framework to tackle the challenge of learning from multiple annotators without objective ground truth.

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data

1 code implementation3 Nov 2020 Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

Protective behavior exhibited by people with chronic pain (CP) during physical activities is the key to understanding their physical and emotional states.

Human Activity Recognition Management

Multimodal Data Fusion based on the Global Workspace Theory

no code implementations26 Jan 2020 Cong Bao, Zafeirios Fountas, Temitayo Olugbade, Nadia Bianchi-Berthouze

We propose a novel neural network architecture, named the Global Workspace Network (GWN), which addresses the challenge of dynamic and unspecified uncertainties in multimodal data fusion.

EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions

no code implementations21 Jan 2020 Joy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda Williams, Hongy-ing Meng, Min Aung, Nicholas D. Lane, Michel Valstar, Nadia Bianchi-Berthouze

The EmoPain 2020 Challenge is the first international competition aimed at creating a uniform platform for the comparison of machine learning and multimedia processing methods of automatic chronic pain assessment from human expressive behaviour, and also the identification of pain-related behaviours.

Emotion Recognition

Physiological and Affective Computing through Thermal Imaging: A Survey

1 code implementation27 Aug 2019 Youngjun Cho, Nadia Bianchi-Berthouze

Thermal imaging-based physiological and affective computing is an emerging research area enabling technologies to monitor our bodily functions and understand psychological and affective needs in a contactless manner.

Physiological Computing

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection

1 code implementation24 Apr 2019 Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. De C. Williams, Nadia Bianchi-Berthouze

For people with chronic pain, the assessment of protective behavior during physical functioning is essential to understand their subjective pain-related experiences (e. g., fear and anxiety toward pain and injury) and how they deal with such experiences (avoidance or reliance on specific body joints), with the ultimate goal of guiding intervention.

Chronic-Pain Protective Behavior Detection with Deep Learning

1 code implementation24 Feb 2019 Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities.


Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration

no code implementations18 Dec 2018 Temitayo A. Olugbade, Joseph Newbold, Rose Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Gualtiero Volpe, Nadia Bianchi-Berthouze

For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving.

DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings

2 code implementations20 Aug 2017 Youngjun Cho, Nadia Bianchi-Berthouze, Simon J. Julier

Finally, a data augmentation technique, inspired from solutions for over-fitting problems in deep learning, is applied to allow the CNN to learn with a small-scale dataset from short-term measurements (e. g., up to a few hours).

Data Augmentation Mental Stress Detection +1

Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging

no code implementations8 May 2017 Youngjun Cho, Simon J. Julier, Nicolai Marquardt, Nadia Bianchi-Berthouze

In this paper, we propose a novel and robust approach for respiration tracking which compensates for the negative effects of variations in the ambient temperature and motion artifacts and can accurately extract breathing rates in highly dynamic thermal scenes.

Physiological Computing Quantization +1

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