A5052557610- Face recognition and analysis
- Nutritional Studies and Diet
- Handwritten Text Recognition Techniques
- Natural Language Processing Techniques
- Topic Modeling
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Mobile Health and mHealth Applications
- Nutrition, Genetics, and Disease
- Diet and metabolism studies
- Interactive and Immersive Displays
- Child Development and Digital Technology
- Context-Aware Activity Recognition Systems
- Mobile Learning in Education
- Adversarial Robustness in Machine Learning
- Metabolomics and Mass Spectrometry Studies
- Biometric Identification and Security
- Digital and Cyber Forensics
- Face and Expression Recognition
- Advanced Steganography and Watermarking Techniques
- Culinary Culture and Tourism
Universidad Autónoma de Madrid
2020-2025
Jamia Millia Islamia
2021
This article presents SVC-onGoing1, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of art in open common platform using large-scale public databases, such as DeepSignDB2 and SVC2021_EvalDB3, standard experimental protocols. SVC-onGoing is based on ICDAR 2021 Competition On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. The goal evaluate limits popular scenarios...
Media forensics has attracted a tremendous attention in the last years part due to increasing concerns around DeepFakes. Since release of initial DeepFakes databases 1st generation such as UADFV and FaceForensics++ up latest 2nd Celeb-DF DFDC, many visual improvements have been carried out, making fake videos almost indistinguishable human eye. This study provides an in-depth analysis both generations terms detection performance. Two different methods are considered our experimental...
The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines the unique circumstances each individual. With latest advances technology data science, researchers can now automatically collect analyze large amounts from a variety sources, including wearable smart devices. By combining these diverse data, more comprehensive insights human body its be achieved....
This article provides an overview of recent research in Child-Computer Interaction with mobile devices and describe our framework ChildCI intended for: i) overcoming the lack large-scale publicly available databases area, ii) generating a better understanding cognitive neuromotor development children along time, contrary to most previous studies literature focused on single-session acquisition, iii) enabling new applications e-Learning e-Health through acquisition additional information such...
Leading a healthy lifestyle significantly reduces the risk of developing Non-Communicable Diseases (NCD). However, defining and monitoring eating behaviour depends on multiple factors usually requires intervention experts. On other hand, nowadays millions images are shared social media web platforms. In particular, many them food taken from smartphone over time, providing information related to individual's diet. Consequently, exploiting recent advances in image processing Artificial...
Obesity is a prevalent and preventable condition that has increased alarmingly in recent decades associated with low-grade chronic inflammation range of non-communicable diseases. Although the aetiology obesity been simplified as an energy imbalance, multiple factors contribute to its development, making treatment complex. Current methods for diagnosing overweight have significant limitations therefore, more personalised approach nutritional guidance needed account differences response...
Abstract Maintaining a healthy lifestyle has become increasingly challenging in today’s sedentary society marked by poor eating habits. To address this issue, both national and international organisations have made numerous efforts to promote healthier diets increased physical activity. However, implementing these recommendations daily life can be difficult, as they are often generic not tailored individuals. This study presents the AI4Food-NutritionDB database, first nutrition database that...
Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores application wearable devices Artificial Intelligence (AI) in order to predict weight loss changes overweight obese individuals. Using data from a 1-month trial involving around 100 subjects AI4FoodDB database, including biomarkers, vital signs, behavioral data, we identify key differences between those achieving (>= 2% their weight) who do not....
Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits. To address this issue, both national and international organisations have made numerous efforts to promote healthier diets increased physical activity. However, implementing these recommendations daily life can be difficult, as they are often generic not tailored individuals. This study presents the AI4Food-NutritionDB database, first nutrition database that...
Nowadays millions of images are shared on social media and web platforms. In particular, many them food taken from a smartphone over time, providing information related to the individual's diet. On other hand, eating behaviours directly some most prevalent diseases in world. Exploiting recent advances image processing Artificial Intelligence (AI), this scenario represents an excellent opportunity to: i) create new methods that analyse individuals' health what they eat, ii) develop...
Media forensics has attracted a lot of attention in the last years part due to increasing concerns around DeepFakes. Since initial DeepFake databases from 1st generation such as UADFV and FaceForensics++ up latest 2nd Celeb-DF DFDC, many visual improvements have been carried out, making fake videos almost indistinguishable human eye. This study provides an exhaustive analysis both generations terms facial regions detection performance. Two different methods are considered our experimental...
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of art in open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, standard experimental protocols. SVC-onGoing is based on ICDAR 2021 Competition On-Line Signature Verification (SVC 2021), which has been extended to allow participants anytime. The goal evaluate limits popular scenarios...
This paper describes the experimental framework and results of ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal SVC is to evaluate limits on-line signature verification systems popular scenarios (office/mobile) writing inputs (stylus/finger) through large-scale public databases. Three different tasks are considered in competition, simulating realistic as both random skilled forgeries simultaneously each task. obtained prove high potential deep learning methods....