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About

About

Areas of research:

- Knowledge discovery

  • Supervised learning   
  • Multiple predictive models
  • Applied knowledge discovery

- Intelligent transportation systems

  • Planning and operations of public transports

Interest
Topics
Details

Details

  • Name

    João Mendes Moreira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2011
002
Publications

2019

Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction

Authors
Pedroto, M; Jorge, A; Mendes Moreira, J; Coelho, T;

Publication
Practical Applications of Computational Biology and Bioinformatics, 12th International Conference, PACBB 2018, Toledo, Spain, 20-22 May, 2018.

Abstract

2019

Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders

Authors
Gomes, D; Mendes Moreira, J; Sousa, I; Silva, J;

Publication
Sensors

Abstract

2019

Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders

Authors
Gomes, D; Mendes Moreira, J; Sousa, I; Silva, J;

Publication
SENSORS

Abstract
The increasingly aging society in developed countries has raised attention to the role of technology in seniors' lives, namely concerning isolation-related issues. Independent seniors that live alone frequently neglect meals, hydration and proper medication-taking behavior. This work aims at eating and drinking recognition in free-living conditions for triggering smart reminders to autonomously living seniors, keeping system design considerations, namely usability and senior-acceptance criteria, in the loop. To that end, we conceived a new dataset featuring accelerometer and gyroscope wrist data to conduct the experiments. We assessed the performance of a single multi-class classification model when compared against several binary classification models, one for each activity of interest (eating vs. non-eating; drinking vs. non-drinking). Binary classification models performed consistently better for all tested classifiers (k-NN, Naive Bayes, Decision Tree, Multilayer Perceptron, Random Forests, HMM). This evidence supported the proposal of a semi-hierarchical activity recognition algorithm that enabled the implementation of two distinct data stream segmentation techniques, the customization of the classification models of each activity of interest and the establishment of a set of restrictions to apply on top of the classification output, based on daily evidence. An F1-score of 97% was finally attained for the simultaneous recognition of eating and drinking in an all-day acquisition from one young user, and 93% in a test set with 31 h of data from 5 different unseen users, 2 of which were seniors. These results were deemed very promising towards solving the problem of food and fluids intake monitoring with practical systems which shall maximize user-acceptance.

2018

Enhancing traffic model of big cities: Network skeleton & reciprocity

Authors
Bhanu, M; Chandra, J; Mendes Moreira, J;

Publication
10th International Conference on Communication Systems & Networks, COMSNETS 2018, Bengaluru, India, January 3-7, 2018

Abstract

2018

Updating a robust optimization model for improving bus schedules

Authors
Baghoussi, Y; Mendes Moreira, J; Emmerich, MTM;

Publication
10th International Conference on Communication Systems & Networks, COMSNETS 2018, Bengaluru, India, January 3-7, 2018

Abstract

Supervised
thesis

2018

Antenna Design for Underwater Applications

Author
Oluyomi Aboderin

Institution
INESCTEC

2018

Efeitos da Integração Óptima de Sistemas de Armazenamento de Energia na Operação da Rede de Transmissão Portuguesa

Author
André Filipe Porelo da Silva

Institution
UP-FEUP

2018

Safety features for unmanned maritime vehicles

Author
André Manuel Matos Leite

Institution
UP-FEUP

2017

Analytics Application for Real Time Stream Data Processing from Connected Heating Systems

Author
Manuel Duarte Vilarinho Mourato

Institution
UP-FEUP

2017

On robust bus schedulling

Author
Yassine Baghoussi

Institution
UP-FCUP