Ivan Miguel Pires

According to our database, Ivan Miguel Pires authored at least 95 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test.

Luís Francisco, João Duarte, Carlos Albuquerque, Daniel Filipe Albuquerque, Ivan Miguel Pires, Paulo Jorge Simães Coelho

Sensors, February, 2024

Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing.

Abdul Hannan, Sehrish Munawar Cheema, Ivan Miguel Pires

Biomed. Signal Process. Control., January, 2024

Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices.

Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires

PeerJ Comput. Sci., 2024

2023

A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions.

Abdul Ahad, Zahra Ali, Abdul Mateen, Mohammad Tahir, Abdul Hannan, Nuno M. Garcia, Ivan Miguel Pires

Array, July, 2023

Editorial: Wearable and mobile data analysis methodologies for personalized medicine.

Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia

Frontiers Digit. Health, May, 2023

A natural language interface for automatic generation of data flow diagram using web extraction techniques.

Sehrish Munawar Cheema, Saman Tariq, Ivan Miguel Pires

J. King Saud Univ. Comput. Inf. Sci., February, 2023

Normalized effect size (NES): a novel feature selection model for Urdu fake news classification.

Muhammad Wasim, Sehrish Munawar Cheema, Ivan Miguel Pires

PeerJ Comput. Sci., 2023

Self-reporting Tool for Cardiovascular Patients.

Hanna Vitaliyivna Denysyuk, João Amado, Norberto Jorge Gonçalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Information Systems and Technologies, 2023

Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach.

Shahid Anwar, Abdul Ahad, Mudassar Hussain, Ibraheem Shayea, Ivan Miguel Pires

Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Improving Accuracy in Cloud Service Provider Ranking: Integrating TOPSIS with CAIQ-based QoS Assessment.

Zahra Ali, Abdul Ahad, Ibraheem Shayea, Ivan Miguel Pires

Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data.

Rui João Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Smart Wearables Data Collection and Analysis for Medical Applications: A Preliminary Approach for Functional Reach Test.

João Duarte, Luís Francisco, Ivan Miguel Pires, Paulo Jorge Simães Coelho

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques.

Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simães Coelho, Eftim Zdravevski

Proceedings of the ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, 2023

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data.

Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

An IoT-Based Framework for Sustainable Supply Chain Management System.

Muhammad Ali, Sehrish Munawar Cheema, Ivan Miguel Pires, Ammerha Naz, Zaheer Aslam, Nasir Ayub, Paulo Jorge Simães Coelho

Proceedings of the Progress in Artificial Intelligence, 2023

Feasibility analysis of an electrogastrography sensor for digestion detection.

Paulo Alexandre Neves, Norberto Jorge Gonçalves, Pedro Varanda, João Simões, Filipe Pires, Nuno M. Garcia, Ricardo Costa, Eftim Zdravevski, Ivan Miguel Pires

Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.

Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska

Sensors, 2022

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.

Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski

Sensors, 2022

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review.

Luís Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires

Sensors, 2022

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.

Paulo Alexandre Neves, João Simões, Ricardo Costa, Luís Pimenta, Norberto Jorge Gonçalves, Carlos Albuquerque, Carlos Augusto S. Cunha, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires

Sensors, 2022

Detection and Mosaicing Techniques for Low-Quality Retinal Videos.

José Camara, Bruno Silva, António Gouveia, Ivan Miguel Pires, Paulo Jorge Simães Coelho, António Cunha

Sensors, 2022

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification.

José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha

J. Imaging, 2022

Smart Objects and Technologies for Social Good.

Ivan Miguel Pires

Future Internet, 2022

Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities.

Boban Joksimoski, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires, Francisco José Melero, Tomás Puebla Martinez, Nuno M. Garcia, Martin Mihajlov, Ivan Chorbev, Vladimir Trajkovik

IEEE Access, 2022

Identification of Abnormal Behavior in Activities of Daily Life Using Novelty Detection.

Maurício Pasetto de Freitas, Vinícius de Aquino Piai, Rudimar L. S. Dazzi, Raimundo Celeste Ghizoni Teive, Wemerson Delcio Parreira, Anita Fernandes, Ivan Miguel Pires, Valderi Reis Quietinho Leithardt

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2022

Medical and Healthcare Information Systems in Portugal: Short Literature Review.

Bruna Rodrigues, Rita Matos, Silvana Guedes, Ivan Miguel Pires, António Jorge Gouveia

Proceedings of the Wireless Mobile Communication and Healthcare, 2022

Preliminary Study on Gender Identification by Electrocardiography Data.

Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Luís Pimenta, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 2022

The influence of cloud computing on the healthcare industry: a review of applications, opportunities, and challenges for the CIO.

Dilma Morais, Filipe G. Pinto, Ivan Miguel Pires, Nuno M. Garcia, António Jorge Gouveia

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

The evolution of IS/IT in health care in last decades.

Cristiana Fernandes, Neuza Claro, Sara Monteiro, Ivan Miguel Pires, António Jorge Gouveia

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities.

Ticiana Capris, Yuka Takagi, Diana Figueiredo, João Henriques, Ivan Miguel Pires

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

2021

IoT Healthcare Security Dataset.

Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski

Dataset, August, 2021

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia

Sensors, 2021

An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults.

Diogo Marques, Henrique Pereira Neiva, Ivan Miguel Pires, Eftim Zdravevski, Martin Mihajlov, Nuno M. Garcia, Juan Diego Ruiz-Cárdenas, Daniel Almeida Marinho, Mário Cardoso Marques

Sensors, 2021

A Framework for Malicious Traffic Detection in IoT Healthcare Environment.

Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski

Sensors, 2021

A Portable Smart Fitness Suite for Real-Time Exercise Monitoring and Posture Correction.

Abdul Hannan, Muhammad Zohaib Shafiq, Faisal Hussain, Ivan Miguel Pires

Sensors, 2021

Experimental Study on Wound Area Measurement with Mobile Devices.

Filipe Ferreira, Ivan Miguel Pires, Vasco Ponciano, Mónica Costa, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Chorbev, Martin Mihajlov, Vladimir Trajkovik

Sensors, 2021

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks.

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik

Sensors, 2021

A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test.

Ivan Miguel Pires, Eurico Lopes, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Vasco Ponciano

Comput., 2021

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation.

Filipe Ferreira, Ivan Miguel Pires, Mónica Costa, Vasco Ponciano, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Martin Mihajlov

Comput., 2021

Comparison of machine learning techniques for the identification of human activities from inertial sensors available in a mobile device after the application of data imputation techniques.

Ivan Miguel Pires, Faisal Hussain, Gonçalo Marques, Nuno M. Garcia

Comput. Biol. Medicine, 2021

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks.

Faisal Hussain, Syed Ghazanfar Abbas, Ivan Miguel Pires, Sabeeha Tanveer, Ubaid U. Fayyaz, Nuno M. Garcia, Ghalib A. Shah, Farrukh Shahzad

IEEE Access, 2021

Mobile Device Approach for the Measurement of Jump Flight Time.

Ivan Miguel Pires, Nuno M. Garcia, Maria Cristina Canavarro Teixeira

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Premises Based Smart Door Chains System Using IoT Cloud.

Abdul Hannan, Faisal Hussain, Sehrish Munawar Cheema, Ivan Miguel Pires

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

The New Era of Technology Applied to Cardiovascular Patients: State-of-the-Art and Questionnaire Applied for a System Proposal.

María Vanessa Villasana, Juliana Sá, Ivan Miguel Pires, Carlos Albuquerque

Proceedings of the Smart Objects and Technologies for Social Good, 2021

Biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life.

Luís Marques, Luca Lopes, Miguel Ferreira, João Henriques, Ivan Miguel Pires, Filipe Caldeira, Cristina Wanzeller

Proceedings of the Smart Objects and Technologies for Social Good, 2021

COVID-19 Next Day Trend Forecast.

Marcelo Costa, Margarida Rodrigues, Pedro Baptista, João Henriques, Ivan Miguel Pires, Cristina Wanzeller, Filipe Caldeira

Proceedings of the Smart Objects and Technologies for Social Good, 2021

Management Technology for Institutional Environment in Pandemic Times.

Maria Eduarda Aragão, Maria Alice Lopes, Gustavo Neves Miranda, José Morgado, Francisco Miguel Morgado, Ivan Miguel Pires

Proceedings of the Smart Objects and Technologies for Social Good, 2021

2020

Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Rute Crisóstomo, Maria Cristina Canavarro Teixeira, Eftim Zdravevski

Sensors, 2020

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information.

Arielle Verri Lucca, Luis Augusto Silva, Rodrigo Luchtenberg, Leonardo Garcez, Xuzeng Mao, Raúl García Ovejero, Ivan Miguel Pires, Jorge Luis Victória Barbosa, Valderi Reis Quietinho Leithardt

Sensors, 2020

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.

Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik

Remote. Sens., 2020

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Susanna Spinsante

J. Medical Syst., 2020

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal.

Bruno F. Tavares, Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Aleksandar Jevremovic

Inf., 2020

Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal.

Rui Faria, Inês Lopes, Ivan Miguel Pires, Gonçalo Marques, Solange Fernandes, Nuno M. Garcia, José Lucas, Aleksandar Jevremovic, Eftim Zdravevski, Vladimir Trajkovik

Inf., 2020

Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study.

Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski

Future Internet, 2020

Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification.

Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski

Future Internet, 2020

An Efficient Data Imputation Technique for Human Activity Recognition.

Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski

CoRR, 2020

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Maria Cristina Canavarro Teixeira, Eftim Zdravevski

Comput., 2020

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Petre Lameski

Comput., 2020

PriADA: Management and Adaptation of Information Based on Data Privacy in Public Environments.

Hugo Lopes, Ivan Miguel Pires, Héctor Sánchez San Blas, Raúl García Ovejero, Valderi R. Q. Leithardt

Comput., 2020

Approach for the Development of a System for COVID-19 Preliminary Test.

Ticiana Capris, Pedro Melo, Pedro Pereira, José Morgado, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Science and Technologies for Smart Cities, 2020

CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal.

María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Petre Lameski

Proceedings of the IoT Technologies for HealthCare - 7th EAI International Conference, 2020

Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach.

Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski

Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

Machine learning for the evaluation of the presence of heart disease.

Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Vasco Ponciano

Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

Diabetes Disease through Machine Learning: A comparative study.

Gonçalo Marques, Ivan Miguel Pires, Nuno M. Garcia

Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Teenagers from Centre of Portugal: Nutrition and Physical Activity Data.

Nuno M. Garcia, María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Eftim Zdravevski, Ivan Chorbev, Petre Lameski

Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Personal Digital Life Coach for Physical Therapy.

Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

E-health and M-health applications in Georgia: A review on the free available applications for Android Devices.

Salome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, Nuno M. Garcia

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Control and Prevention of Personal Stress.

Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Diseases identification with big data concept - The older people community.

André Esteves, Vasco Ponciano, Ivan Miguel Pires

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Version Reporting and Assessment Approaches for New and Updated Activity and Heart Rate Monitors.

Tim Collins, Sandra I. Woolley, Salome Oniani, Ivan Miguel Pires, Nuno M. Garcia, Sean J. Ledger, Anand Pandyan

Sensors, 2019

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski

PeerJ Prepr., 2019

An Efficient Machine Learning-based Elderly Fall Detection Algorithm.

Faisal Hussain, Muhammad Basit Umair, Muhammad Ehatisham-ul-Haq, Ivan Miguel Pires, Tânia Valente, Nuno M. Garcia, Nuno Pombo

CoRR, 2019

Is the Overfitting in a Neural Network a Reliable Model for the Recognition of Activities of Daily Living?

Lina Xu, Nuno Pombo, Ivan Miguel Pires, Nuno M. Garcia

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers.

María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Nuno Pombo, Eftim Zdravevski, Ivan Chorbev

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Smartphone-based automatic measurement of the results of the Timed-Up and Go test.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, Nuno Pombo, Susanna Spinsante, Rute Crisóstomo

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

A review of frameworks on continuous data acquisition for e-Health and m-Health.

Salome Oniani, Ivan Miguel Pires, Nuno M. Garcia, Ia Mosashvili, Nuno Pombo

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

2018

Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review.

Ivan Miguel Pires, Rui Santos, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva, Eftim Zdravevski

Sensors, 2018

Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante

Sensors, 2018

Identification of activities of daily living through data fusion on motion and magnetic sensors embedded on mobile devices.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira

Pervasive Mob. Comput., 2018

Validation of a method for the estimation of energy expenditure during physical activity using a mobile device accelerometer.

Ivan Miguel Pires, Virginie Felizardo, Nuno Pombo, Mario Drobics, Nuno M. Garcia, Francisco Flórez-Revuelta

J. Ambient Intell. Smart Environ., 2018

Conceptual Definition of a Platform for the Monitoring of the Subjects with Nephrolithiasis Based on the Energy Expenditure and the Activities of Daily Living Performed.

Ivan Miguel Pires, Tânia Valente, Nuno Pombo, Nuno M. Garcia

Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks.

Ivan Miguel Pires, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Measurement of the Reaction Time in the 30-S Chair Stand Test using the Accelerometer Sensor Available in off-the-Shelf Mobile Devices.

Ivan Miguel Pires, Diogo Marques, Nuno Pombo, Nuno M. Garcia, Mário Cardoso Marques, Francisco Flórez-Revuelta

Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Limitations of the Use of Mobile Devices and Smart Environments for the Monitoring of Ageing People.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2018

Framework for the Recognition of Activities of Daily Living and Their Environments in the Development of a Personal Digital Life Coach.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

Proceedings of the 7th International Conference on Data Science, 2018

2017

Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante

CoRR, 2017

User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

CoRR, 2017

A Multiple Source Framework for the Identification of Activities of Daily Living Based on Mobile Device Data.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

CoRR, 2017

Pattern Recognition Techniques for the Identification of Activities of Daily Living using Mobile Device Accelerometer.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante

CoRR, 2017

Limitations of Energy Expenditure Calculation Based on a Mobile Phone Accelerometer.

Ivan Miguel Pires, Virginie Felizardo, Nuno Pombo, Nuno M. Garcia

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

2016

From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

Sensors, 2016

Validation Techniques for Sensor Data in Mobile Health Applications.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Natalia Díaz Rodríguez

J. Sensors, 2016

Identification of Activities of Daily Living Using Sensors Available in off-the-shelf Mobile Devices: Research and Hypothesis.

Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta

Proceedings of the Ambient Intelligence - Software and Applications, 2016

2015

Calculation of Jump Flight Time using a Mobile Device.

Ivan Miguel Pires, Nuno M. Garcia, Maria Cristina Canavarro Teixeira

Proceedings of the HEALTHINF 2015, 2015

Wound Area Assessment using Mobile Application.

Ivan Miguel Pires, Nuno M. Garcia

Proceedings of the BIODEVICES 2015, 2015