Iván García‐Magariño

ORCID: 0000-0002-2726-6760
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About
Contact & Profiles
Research Areas
  • Multi-Agent Systems and Negotiation
  • Model-Driven Software Engineering Techniques
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Context-Aware Activity Recognition Systems
  • Mobile Agent-Based Network Management
  • Advanced Software Engineering Methodologies
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • IoT and Edge/Fog Computing
  • Emotion and Mood Recognition
  • Mindfulness and Compassion Interventions
  • E-Learning and Knowledge Management
  • Virtual Reality Applications and Impacts
  • Educational Games and Gamification
  • Online and Blended Learning
  • Stroke Rehabilitation and Recovery
  • Mobile Health and mHealth Applications
  • Color perception and design
  • User Authentication and Security Systems
  • Mobile Crowdsensing and Crowdsourcing
  • Big Data and Business Intelligence
  • Online Learning and Analytics
  • Advanced Malware Detection Techniques
  • Housing Market and Economics

Universidad Complutense de Madrid
2008-2023

Software (Spain)
2009-2022

Universidad Europea
2020

Instituto de Investigación Sanitaria Aragón
2017-2019

Universidad de Zaragoza
2015-2019

Universidad a Distancia de Madrid
2010-2015

The impact of Internet Things has been revolutionized in all fields life, but its on the healthcare system significant due to cutting edge transition. role becomes more dominant when it is supported by features mobile computing. computing extends functionality IoT environment bringing a massive support form health (m-health). In this research, systematic literature review protocol proposed study how assists applications healthcare, contributes current and future research work system, brings...

10.1155/2019/5931315 article EN Wireless Communications and Mobile Computing 2019-11-14

Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic records, wearable and smart devices, handheld devices. The advancement in big data, along availability new computational models field healthcare, has enabled caretakers researchers to extract relevant visualize healthcare data a spectrum. role becomes challenging task form storage, required retrieval within limited time, cost efficient solutions terms care, many others. Early...

10.1109/access.2020.2995572 article EN cc-by IEEE Access 2020-01-01

Internet of Things (IoT) widely use analysis data with artificial intelligence (AI) techniques in order to learn from user actions, support decisions, track relevant aspects the user, and notify certain events when appropriate. However, most AI are based on mathematical models that difficult understand by general public, so people AI-based technology as a black box they eventually start trust their personal experience. This article proposes go step forward IoT, novel approach within...

10.1109/access.2019.2937521 article EN cc-by IEEE Access 2019-01-01

Abstract Introduction Unsupervised digital cognitive testing is an appealing means to capture subtle decline in preclinical Alzheimer's disease (AD). Here, we describe development, feasibility, and validity of the Boston Remote Assessment for Neurocognitive Health (BRANCH) against in‐person amyloid/tau burden. Methods BRANCH web‐based, self‐guided, assesses memory processes vulnerable AD. Clinically normal participants (n = 234; aged 50–89) completed BRANCH; a subset underwent positron...

10.1002/dad2.12243 article EN cc-by-nc-nd Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2021-01-01

The Internet of Vehicles (IoV) provides new opportunities for the coordination vehicles enhancing safety and transportation performance. can be coordinated avoiding collisions by communicating their positions when near to each other, in which information flow is indexed geographical or ones road maps. also ameliorate traffic jams sharing locations destinations. apply optimization algorithms reduce overuse certain streets without excessively enlarging paths. In this way, traveling time...

10.1109/jiot.2018.2871255 article EN IEEE Internet of Things Journal 2018-09-20

Virtual Reality (VR) has the capacity to be used in cognitive rehabilitation interventions for diagnostic and training purposes. This technology allows development of proposals that traditionally have been only implemented using physical elements imply greater resources a lesser degree automation. work presents an immersive virtual reality (IVR) application (the Cupboard task) evaluation memory more ecological way based on activity daily living (ADL). To appraise its construct validity, we...

10.1016/j.ijhcs.2022.102885 article EN cc-by-nc-nd International Journal of Human-Computer Studies 2022-07-14

Internet-of-Things (IoT) can allow healthcare professionals to remotely monitor patients by analyzing the sensors outputs with big data analytics. Sleeping conditions are one of most influential factors on health. However, literature lacks appropriate simulation tools widely support research recognition sleeping postures. This paper proposes an agent-based framework simulate sleeper movements a simulated smart bed load sensors. allows define posture algorithms and compare their outcomes...

10.1109/access.2017.2764467 article EN cc-by-nc-nd IEEE Access 2017-10-23

Virtual Reality (VR) has had significant advances in rehabilitation, due to the gamification of cognitive activities that facilitate treatment. On other hand, Immersive (IVR) produces outstanding results interactive features with user. This work introduces a VR application for memory rehabilitation by walking through maze and using Oculus Go head-mounted display (HMD) technology. The mechanics game require memorizing geometric shapes while player progresses two modes, autonomous or manual,...

10.3390/s20226552 article EN cc-by Sensors 2020-11-17

The COVID-19 pandemic has changed people’s lives and the way in which certain services are provided. Such changes not uncommon healthcare they will have to adapt new situation by increasing number of remotely offered. Limited mobility resulted interruption treatments that traditionally been administered through face-to-face modalities, especially those related cognitive impairments. In this telerehabilitation approach, both patient specialist physician enter a virtual reality (VR)...

10.3390/su13042183 article EN Sustainability 2021-02-18

The INGENIAS Development Kit, IDK from now on, is the development support tool for methodology [2]. It distributed as GPL software and developed in Java. distribution can be downloaded http://ingenias.sourceforge.net while updated versions are always available subversion repositores hosted within sourceforge project.

10.5555/1402744.1402760 article EN Adaptive Agents and Multi-Agents Systems 2008-05-12

Multi-Agent Systems can support e-Healthcare applications for improving quality of life citizens. In this direction, we propose a healthcare system architecture named smart city. First, divide given city into various zones and then zonal level three-layered architecture. Further, effectiveness introduce System (MAS) in Protecting sensitive health information citizens is major security concern. Group key agreement (GKA) the corner stone securely sharing data among stakeholders For...

10.3390/s20143940 article EN cc-by Sensors 2020-07-15

Wireless sensor network and industrial internet of things have been a growing area research which is exploited in various fields such as smart home, industries, transportation, so on. There need mechanism can easily tackle the problems nonlinear delay integro-differential equations for large-scale applications Internet Things. In this paper, Haar wavelet collocation technique developed solution wireless The method applied to Volterra, Fredholm Volterra-Fredholm are based on use wavelets....

10.3390/s20071962 article EN cc-by Sensors 2020-03-31

Internet of Things (IoT) is becoming highly supportive in innovative technological solutions for assisting impaired people. Some these IoT are still a prototyping phase ignoring possible attacks and the corresponding security defenses. This article proposes learning-based approach defending against perception-layer performed on specific sensor types smart furniture based analysis time series by means dynamic warping algorithm calculating similarity novel detector identifying anomalies. has...

10.1109/access.2020.3004814 article EN cc-by IEEE Access 2020-01-01
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