Francisco Flórez-Revuelta

Francisco Flórez-Revuelta
University of Alicante | UA · Computer Sciences and Computation

PhD in Computer Engineering

About

166
Publications
36,347
Reads
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2,367
Citations
Introduction
Associate Professor at the Department of Computer Technology, University of Alicante (Spain) where I belong to the Domotics and Ambient Intelligence (DAI) research group. Between 2011 and 2016, I had several positions (Marie Curie fellow, and Senior Researcher) at Kingston University, leading the Theme on Technologies for Active and Assisted Living in the Interdisciplinary Hub for the Study of Health and Age-related conditions (IhSHA). Chair of TechAAL
Additional affiliations
December 2013 - present
Kingston University
Position
  • Senior Researcher
December 2011 - December 2013
Kingston University London
Position
  • Marie Curie Fellow
October 1995 - present
Universidad de Alicante
Position
  • Professor (Associate)

Publications

Publications (166)
Article
Full-text available
Video-based recognition of activities of daily living (ADLs) is being used in ambient assisted living systems in order to support the independent living of older people. However, current systems based on cameras located in the environment present a number of problems, such as occlusions and a limited field of view. Recently, wearable cameras have b...
Conference Paper
Full-text available
The analysis of intake behaviour is a key factor to understand the health condition of a subject, such as elderly or people affected by diet-related disorders. The technology can be exploited for this purpose to promptly identify anomalous situations. To this end, the point cloud, provided by a depth camera placed on the ceiling in top-down view, i...
Article
Full-text available
Privacy in image and video data has become an important subject since cameras are being installed in an increasing number of public and private spaces. Specifically, in assisted living, intelligent monitoring based on computer vision can allow one to provide risk detection and support services that increase people's autonomy at home. In the present...
Conference Paper
Full-text available
Mathematical morphology is broadly used in image processing, but it is mainly restricted to binary or greyscale images. Extension to color images is not straightforward due to the need of application to an ordered space with an infimum and a supremum. In this paper a new approach for the ordering of the RGB space is presented. The adaptation of a l...
Conference Paper
Full-text available
Given a territory composed of basic geographical units, the delineation of local labour market areas (LLMAs) can be seen as a problem in which those units are grouped subject to multiple constraints. In previous research, standard genetic algorithms were not able to find valid solutions, and a specific evolutionary algorithm was developed. The incl...
Preprint
Full-text available
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance,...
Article
Full-text available
Life expectancy has increased, so the number of people in need of intensive care and attention is also growing. Falls are a major problem for older adult health, mainly because of the consequences they entail. Falls are indeed the second leading cause of unintentional death in the world. The impact on privacy, the cost, low performance, or the need...
Technical Report
Full-text available
It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a vi...
Technical Report
This publication is based upon work from COST Action GoodBrother – Network on Privacy-Aware Audioand Video-Based Applications for Active and Assisted Living, supported by COST (European Cooperation in Science and Technology).
Article
Full-text available
Several research studies have investigated the human activity recognition (HAR) domain to detect and recognise patterns of daily human activities. However, the accurate and automatic assessment of activities of daily living (ADLs) through machine learning algorithms is still a challenge, especially due to limited availability of realistic datasets...
Article
Full-text available
Wrist-worn devices equipped with accelerometers constitute a non-intrusive way to achieve active and assisted living (AAL) goals, such as automatic journaling for self-reflection, i.e., lifelogging, as well as to provide other services, such as general health and wellbeing monitoring, personal autonomy assessment, among others. Human action recogni...
Preprint
BACKGROUND Ambient Assisted Living (AAL) is a common name for various Artificial Intelligence (AI)-infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different approaches to learn about their users and make automated decisions, known as AI models, for personaliz...
Article
Full-text available
Ambient assisted living (AAL) technologies are increasingly presented and sold as essential smart additions to daily life and home environments that will radically transform the healthcare and wellness markets of the future. An ethical approach and a thorough understanding of all ethics in surveillance/monitoring architectures are therefore pressin...
Preprint
Full-text available
This paper reviews the state of the art in visual privacy protection techniques, with particular attention paid to techniques applicable to the field of active and assisted living (AAL). A novel taxonomy with which state-of-the-art visual privacy protection methods can be classified is introduced. Perceptual obfuscation methods, a category in the t...
Technical Report
Full-text available
Ambient assisted living (AAL) technologies are increasingly presented and sold as essential smart additions to daily life and home environments that will radically transform the healthcare and wellness markets of the future. An ethical approach and a thorough understanding of all ethics in surveillance/monitoring architectures are therefore pressin...
Article
Full-text available
Active and assisted living technologies are much needed, but some aspects of them cause user rejection due to concerns on privacy. This is even more concerning to users when visual information is used, processed, and transmitted. To respond to these concerns, and maximise user acceptance, visual privacy protection measures have to be put in place....
Article
Full-text available
Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal outcomes. Due to constraints in medical care systems, technological solutions should be applied to diagnose, monitor, and alert about the disease’s progress for patients receiving care at home. Some sleep disturbances, such as obstructive sleep apnea syndrome, can in...
Article
Full-text available
This paper presents a new evolutionary approach, EvoSplit, for the distribution of multi-label data sets into disjoint subsets for supervised machine learning. Currently, data set providers either divide a data set randomly or using iterative stratification, a method that aims to maintain the label (or label pair) distribution of the original data...
Article
Increasing numbers of older individuals in the societies pose great challenges for countries affected by the demographic change. The rapid development in the technological sector, on the other hand, enables various applications to make everyday life easier for older and disabled people and to maintain their autonomy for longer. This study examines...
Preprint
Full-text available
This paper presents a new evolutionary approach, EvoSplit, for the distribution of multi-label data sets into disjoint subsets for supervised machine learning. Currently, data set providers either divide a data set randomly or using iterative stratification, a method that aims to maintain the label (or label pair) distribution of the original data...
Article
Full-text available
The potential benefits of recognising activities of daily living from video for active and assisted living have yet to be fully untapped. These technologies can be used for behaviour understanding, and lifelogging for caregivers and end users alike. The recent publication of realistic datasets for this purpose, such as the Toyota Smarthomes dataset...
Chapter
Full-text available
Most mobile devices include motion, magnetic, acoustic, and location sensors. These sensors can be used in the development of a framework for activities of daily living (ADL) and environment recognition. This framework is composed of the acquisition, processing, fusion, and data classification features. This study compares different implementations...
Chapter
With the widespread of miniaturized inertial sensors embedded in wearable devices, an increasing number of individuals monitor their daily life activities through consumer electronic products. However, long-lasting data collection (e.g., from accelerometer) may expose the users to privacy violations, such as the leakage of personal details. To help...
Article
Full-text available
The application of pattern recognition techniques to data collected from accelerometers available in off-the-shelf devices, such as smartphones, allows for the automatic recognition of activities of daily living (ADLs). This data can be used later to create systems that monitor the behaviors of their users. The main contribution of this paper is to...
Article
Full-text available
Amid obesity problems in the young population and apparent trends of spending a significant amount of time in a stationary position, promoting healthy nutrition and physical activities to teenagers is becoming increasingly important. It can rely on different methodologies, including a paper diary and mobile applications. However, the widespread use...
Article
Full-text available
Mobile health applications are applied for different purposes. Healthcare professionals and other users can use this type of mobile applications for specific tasks, such as diagnosis, information, prevention, treatment, and communication. This paper presents an analysis of mobile health applications used by healthcare professionals and their patien...
Chapter
Full-text available
In recent years cardiac problems and using mobile devices for aiding people with these problems have received significant attention from the scientific communities to develop solutions to improve the quality of life. The proliferation of mobile computing technologies has revolutionized the medical practices in both patient and clinical staff sides....
Chapter
Full-text available
Smart environments and mobile devices are two technologies that when combined may allow the recognition of Activities of Daily Living (ADL) and its environments. This paper focuses on the literature review of the existing machine learning methods for the recognition of ADL and its environments , by means of comparison jointly with a proposal of a n...
Article
Full-text available
Using the AdaBoost method may increase the accuracy and reliability of a framework for daily activities and environment recognition. Mobile devices have several types of sensors, including motion, magnetic, and location sensors, that allow accurate identification of daily activities and environment. This paper focuses on the review of the studies t...
Article
Full-text available
The recognition of Activities of Daily Living (ADL) using the sensors available in off-the-shelf mobile devices with high accuracy is significant for the development of their framework. Previously, a framework that comprehends data acquisition, data processing, data cleaning, feature extraction, data fusion, and data classification was proposed. Ho...
Article
Full-text available
Background Mobile applications can be used for the monitoring of lifestyles and physical activity. It can be installed in commodity mobile devices, which are currently used by different types of people in their daily activities worlwide . Objective This paper reviews and categorizes the mobile applications related to diet, nutrition, health, physi...
Article
Full-text available
Background Mobile applications can be used for the monitoring of lifestyles and physical activity. It can be installed in commodity mobile devices, which are currently used by different types of people in their daily activities worlwide . Objective This paper reviews and categorizes the mobile applications related to diet, nutrition, health, physi...
Article
Full-text available
The identification of Activities of Daily Living (ADL) is intrinsic with the user’s environment recognition. This detection can be executed through standard sensors present in every-day mobile devices. On the one hand, the main proposal is to recognize users’ environment and standing activities. On the other hand, these features are included in a f...
Article
Providing support for ageing and frail populations to extend their personal autonomy is desirable for their well-being as it is for the society at large, since it can ease the economic and social challenges caused by ever-ageing developed societies. Ambient-assisted living (AAL) technologies and services might be a solution to address those challen...
Preprint
This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile devices. The recognition of ADL is composed by several stages, including data acquisition, data processing, and artificial intelligence methods. The artificial intelligen...
Article
The detection of the environment where the user is located, is of extreme use for the identification of Activities of Daily Living (ADL). ADL can be identified by use of the sensors available in many off-the-shelf mobile devices, including magnetic and motion, and the environment can be also identified using acoustic sensors. The main objective of...
Article
Full-text available
Articulo de divulgacion cientifica publicado en (https://theconversation.com/los-ordenadores-son-vigilantes-novatos-la-genomica-les-ensena-a-ser-mejores-102729)
Data
Accurate background/foreground segmentation is a preliminary process essential to most visual surveillance applications. With the increasing use of freely moving cameras, strategies have been proposed to refine initial segmentation. In this paper, it is proposed to exploit the Vide-omics paradigm, and Profile Hidden Markov Models in particular, to...
Conference Paper
Full-text available
Accurate background/foreground segmentation is a preliminary process essential to most visual surveillance applications. With the increasing use of freely moving cameras, strategies have been proposed to refine initial segmentation. In this paper, it is proposed to exploit the Vide-omics paradigm, and Profile Hidden Markov Models in particular, to...
Preprint
Full-text available
This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile devices. The recognition of ADL is composed by several stages, including data acquisition, data processing, and artificial intelligence methods. The artificial intelligen...
Preprint
Full-text available
This paper focuses on the recognition of Activities of Daily Living (ADL) applying pattern recognition techniques to the data acquired by the accelerometer available in the mobile devices. The recognition of ADL is composed by several stages, including data acquisition, data processing, and artificial intelligence methods. The artificial intelligen...
Technical Report
Full-text available
This document presents the main results of the European Innovation Partnership on Active and Healthy Ageing (EIP-AHA) privacy preferences collaborative work between Action Group C2 and D4 in the spring of 2018 on privacy preference terms in Active and Healthy Ageing (AHA).
Article
Full-text available
The main goal of this paper consists on the adaption and validation of a method for the measurement of the energy expenditure during physical activities. Sensors available in a mobile device, e.g., a smartphone, a smartwatch, or others, allow the capture of several signals, which may be used to the estimation of the energy expenditure. The adaption...
Conference Paper
Full-text available
The recognition of Activities of Daily Living (ADL) and their environments based on sensors available in off-the-shelf mobile devices is an emerging topic. These devices are capable to acquire and process the sensors' data for the correct recognition of the ADL and their environments, providing a fast and reliable feedback to the user. However, the...
Chapter
Full-text available
Ambient assisted living systems aim at supporting older and impaired people using computer technology so that they can remain autonomous while maintaining healthy living. Egocentric cameras have emerged as a powerful source of data to monitor individuals performing activities of daily living since they tend to focus on the area where the current ac...
Conference Paper
Full-text available
The need for technology assisted (or ambient assisted) living is increasing all the time as the population ages and the number of people with dementia and other conditions impairing memory and cognitive ability increases. In such applications, amongst others, it is necessary to identify and assess potentially hazardous situations. These include sce...
Article
Full-text available
Background Off-the-shelf-mobile devices have several sensors available onboard that may be used for the recognition of Activities of Daily Living (ADL) and the environments where they are performed. This research is focused on the development of Ambient Assisted Living (AAL) systems, using mobile devices for the acquisition of the different types o...
Article
Full-text available
Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking into account several concepts, including data acquisition, data processing, data fusion, and pattern recognition. These concepts can be map...
Preprint
The automatic recognition of Activities of Daily Living (ADL) with a multi-sensor mobile device that can acquire different types of sensors' data, and rely on the use of machine learning methods to handle the recognition of ADL with reliable accuracy. This paper focuses on the literature review of the existing methods to make the identification of...
Article
Full-text available
An increase in the accuracy of identification of Activities of Daily Living (ADL) is very important for different goals of Enhanced Living Environments and for Ambient Assisted Living (AAL) tasks. This increase may be achieved through identification of the surrounding environment. Although this is usually used to identify the location, ADL recognit...
Preprint
Full-text available
Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking in account several concepts, including data acquisition, data processing, data fusion, pattern recognition, and machine learning. These con...
Conference Paper
Full-text available
The 30-s Chair Stand Test (CST) is commonly used with elderly people for assessing the lower limbs strength, which can provide sufficient information regarding the general mobility and fall risk. The mobile devices are widely used for the acquisition of the different physical and physiological data from the sensors available, including the accelero...