Cognitive therapy - Incluverso

 

Research  

 

GTI Data   

 

Open databases created and software developed by the GTI and supplemental material to papers.  

 

Databases  

SportCLIP (2025): Multi-sport dataset for text-guided video summarization.
Ficosa (2024): The FNTVD dataset has been generated using the Ficosa's recording car.
MATDAT (2023):  More than 90K labeled images of martial arts tricking.
SEAW – DATASET (2022): 3 stereoscopic contents in 4K resolution at 30 fps.
UPM-GTI-Face dataset (2022): 11 different subjects captured in 4K, under 2 scenarios, and 2 face mask conditions.
LaSoDa (2022): 60 annotated images from soccer matches in five stadiums with different characteristics and light conditions.
PIROPO Database (2021):People in Indoor ROoms with Perspective and Omnidirectional cameras.
EVENT-CLASS (2021): High-quality 360-degree videos in the context of tele-education.
Parking Lot Occupancy Database (2020)
Nighttime Vehicle Detection database (NVD) (2019)
Hand gesture dataset (2019): Multi-modal Leap Motion dataset for Hand Gesture Recognition.
ViCoCoS-3D (2016): VideoConference Common Scenes in 3D.
LASIESTA database (2016): More than 20 sequences to test moving object detection and tracking algorithms.
Hand gesture database (2015): Hand-gesture database composed by high-resolution color images acquired with the Senz3D sensor.
HRRFaceD database (2014):Face database composed by high resolution images acquired with Microsoft Kinect 2 (second generation).
Lab database (2012): Set of 6 sequences to test moving object detection strategies.
Vehicle image database (2012): More than 7000 images of vehicles and roads.           

 

Software  

Empowering Computer Vision in Higher Education(2024): A Novel Tool for Enhancing Video Coding Comprehension.
Engaging students in audiovisual coding through interactive MATLAB GUIs (2024)
TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem (2023)
Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks (2023)
Vision Transformers and Traditional Convolutional Neural Networks for Face Recognition Tasks (2023)
Faster GSAC-DNN (2023): A Deep Learning Approach to Nighttime Vehicle Detection Using a Fast Grid of Spatial Aware Classifiers.
SETForSeQ (2020): Subjective Evaluation Tool for Foreground Segmentation Quality. 
SMV Player for Oculus Rift (2016)
Bag-D3P (2016): Face recognition using depth information. 
TSLAB (2015): Tool for Semiautomatic LABeling.    

   

Supplementary material  

Soccer line mark segmentation and classification with stochastic watershed transform (2022)
A fully automatic method for segmentation of soccer playing fields (2022)
Grass band detection in soccer images for improved image registration (2022)
Evaluating the Influence of the HMD, Usability, and Fatigue in 360VR Video Quality Assessments (2020)
Automatic soccer field of play registration (2020)   
Augmented reality tool for the situational awareness improvement of UAV operators (2017)
Detection of static moving objects using multiple nonparametric background-foreground models on a Finite State Machine (2015)
Real-time nonparametric background subtraction with tracking-based foreground update (2015)  
Camera localization using trajectories and maps (2014)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

Cognitive therapy (Incluverso)

Carlos Cortés, researcher and PhD student at the Grupo de Tratamiento de Imágenes (GTI) from UPM, and Marta Orduna from NOKIA have undertaken an expedition out of the lab to drive an innovative approach to cognitive therapy. Their work focuses on the "Incluverso" project, an initiative that uses extended reality (XR) technologies to address specific phobias, such as fear of stairs.

 

Incluverso Th 1

 

Incluverso, developed in collaboration with the Juan XXIII Foundation, aims at research in XR and advanced 5G telecommunications technologies that enable the creation of immersive communication experiences applied to therapy, telepresence and tele-training use cases, so that they are applicable to people in psychosocial vulnerability, as a fundamental step towards the development of a fully inclusive Metaverse or Incluverso.

In this context, Carlos and Marta have used a 360 camera to capture immersive images of stairs in calm and safe environments, and thus include them in systematic desensitization therapies to help people with stair phobias.

This approach not only seeks to gradually address the fear of stairs but is also based on the principles of cognitive and behavioral therapy. XR technologies allow for greater immersion of the patient in the environment, providing a sense of presence that can be used as a replacement for in vivo therapies.

The Incluverso project not only focuses on virtual exposure to stairs, but also uses digital biomarkers to study the relationship between cognitive processes and the patient's condition. In addition, research is being conducted on techniques to improve attentional processes and coping with anxiety before feared situations.

The therapy sessions will take place at the Occupational Center for Training, Opportunities and Social and Labor Insertion (COFOIL) of the Juan XXIII Foundation. An experimental group of approximately 10 patients is expected to participate in weekly therapy sessions for six months.

The goal is to provide more accessible and effective therapies to improve the quality of life of those facing these challenges.

The Incluverso project represents a significant milestone in the application of XR technologies in the field of mental health, offering new hope for those seeking to overcome their fears and improve their emotional well-being.

Incluverso Th 2