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Patrícia Justo Bota received her MSc in Biomedical Engineering from the Faculty of Sciences and Technology of NOVA University of Lisbon. While finishing her MSc she worked as a scientist at Fraunhofer AICOS focusing on the development of human activity recognition algorithms based on the smartphone's built-in sensors. Currently, she is a researcher at the Pattern and Image Analysis (PIA-Lx) group from the Instituto de Telecomunicações (IT), and a PhD Student at Instituto Superior Técnico (IST) of Universidade de Lisboa (ULisboa), where she is also a Teaching Assistant in the "Machine Learning in Bioengineering" course. At IT, she is involved in the study of human emotions, cognition and behaviour in unconstrained scenarios, and developing machine learning and artificial intelligence algorithms for the recognition of emotion through multi-source physiological data. She published 3 papers in Q1-Q2 peer reviewed journals (with 1 more under review, and 1 under submission), 1 conference paper (with 1 more under review), with peer revision and scientific refereeing. In addition, Patrícia currently participates and actively contributes to 2 international and 2 national projects, with part of her work already being showcased at the European Commission Joint Research Centre in the scope of the Resonances III Art-Science Festival. She is also a lead maintainer of the BioSPPy toolbox for biosignal processing in Python and the creator of the EMOVis Electrodermal Activity Analysis Tool. Her main research interests include Affective Computing, Machine Learning, Artificial intelligence, and Signal Processing.
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Identificação

Identificação pessoal

Nome completo
Patrícia Justo Bota
Data de nascimento
1995/10/23
Género
Feminino

Nomes de citação

  • Bota, Patrícia

Identificadores de autor

Ciência ID
6A11-5BF7-928B
ORCID iD
0000-0002-0514-7517

Endereços de correio eletrónico

  • patricia.bota@tecnico.ulisboa.pt (Profissional)
  • patricia.bota@tecnico.ulisboa.pt (Profissional)

Moradas

  • Instituto de Telecomunicações. Instituto Superior Técnico, Torre Norte - Piso 10, Av. Rovisco Pais, 1, 1049-001, Lisboa, Lisboa, Portugal (Profissional)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Médica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador independente (B2) Utilizador proficiente (C2) Utilizador independente (B2) Utilizador proficiente (C2) Utilizador proficiente (C1)
Alemão Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1)
Formação
Grau Classificação
2019/02/01 - 2022
Em curso
 Biomedical Engineering (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Sentic State Assessment in a Connected World" (TESE/DISSERTAÇÃO)
2013/09 - 2018/12/03
Concluído
 Biomedical Engineering (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Human Activity Recognition based on Active Learning" (TESE/DISSERTAÇÃO)
 16
2018/03 - 2018/06
Concluído
 Deutsch A1.2 (Outros)
Universidade Nova de Lisboa Instituto de Línguas, Portugal
2016/09/30 - 2017/01/20
Concluído
 Erasmus (Master)
Especialização em Biomedical Engineering
Fachhochschule Technikum Wien, Áustria
2016/11/27
Concluído
 IELTSx: IELTS Academic Test Preparation (Curso de Especialização Tecnológica)
The University of Queensland, Austrália

FullbridgeX, Estados Unidos
2016/11/10
Concluído
 Career Edge 4x: Analytical Problem Solving and Design Thinking (Curso de Especialização Tecnológica)
FullbridgeX, Estados Unidos
2016/02/18
Concluído
 DAT208x: Introduction to Python for Data Science (Curso de Especialização Tecnológica)
Microsoft Corp, Estados Unidos
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/02/01 - 2020/09/30 Investigador (Investigação) Instituto de Telecomunicações, Portugal
Instituto de Telecomunicações, Portugal
2018/02/01 - 2019/01/31 Assistente de Investigação (carreira) (Investigação) Associação Fraunhofer Portugal Research, Portugal
Associação Fraunhofer Portugal Research, Portugal
2016/07/01 - 2016/07/31 Estagiário de Investigação (Investigação) PLUX - Wireless Biosignals, S.A., Portugal
PLUX - Wireless Biosignals, S.A., Portugal
2015/07/13 - 2015/07/17 Estagiário de Investigação (Investigação) Hospital Curry Cabral, Portugal
Hospital Curry Cabral, Portugal
2015/07/06 - 2015/07/10 Estagiário de Investigação (Investigação) Hospital Dona Estefânia, Portugal
Hospital Dona Estefânia, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2019/09 - 2021/01/10 Monitor (Docente Universitário) Universidade de Lisboa Instituto Superior Técnico, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2022/01/01 - Atual Visitor at CWI - Centrum Wiskunde & Informatica Centrum Wiskunde en Informatica, Países Baixos
Projetos

Bolsa

Designação Financiadores
2020/01/29 - Atual NICE HOME - Non-Invasive Fog-Cloud Enabled HOme Monitoring for Elders
IT EEA/50008 NICE-HOME
Investigador
Instituto de Telecomunicações, Portugal
Em curso
2019/09/01 - Atual Moving Digits - Augmented Dance for Engaged Audience
597398-CREA-1-2018-1-PT-CULT-COOP1
Investigador
Education Audiovisual and Culture Executive Agency, Bélgica
Em curso
2019/02/01 - Atual XiPhy - Xinhuanet Physiological Computing Scientific Research Cooperation
S-0003-LX-18
Bolseiro de Investigação
Xinhuanet Future Media Convergence Institute (FMCI), China
Em curso
2019/05/08 - 2020/05/31 ScientIST - Scientific Experiments in Biomedical Engineering Supported by Mobile Devices and IoT
PIP 1018P.05667.1.01/CC3311
Investigador
Universidade de Lisboa Instituto Superior Técnico, Portugal
Em curso
2018/02/01 - 2019/01/31 UHMAN
BIC/FhP-17/008
Bolseiro de Iniciação Científica
Associação Fraunhofer Portugal Research, Portugal
Concluído

Projeto

Designação Financiadores
2020/02/01 - 2021/09/30 NICE HOME
IT EEA/50008 NICE-HOME
Instituto de Telecomunicações Lisboa, Portugal
 Instituto de Telecomunicações Lisboa
Em curso
2018/02/01 - 2019/01/31 Deus ex Machina (DEM)
NORTE-01-0145-FEDER-000026
Bolseiro de Iniciação Científica
Associação Fraunhofer Portugal Research, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Aly, Luis; Bota, Patricia; Godinho, Leonor; Bernardes, Gilberto; Silva, Hugo. "Acting emotions: physiological correlates of emotional valence and arousal dynamics in theatre". 2022.
    10.1145/3505284.3532985
  2. Bota, Patrícia. "A Wearable System for Electrodermal Activity Data Acquisition in Collective Experience Assessment". Trabalho apresentado em 6th International Workshop on Information Value Management - A New Paradigm in an Area of Digitalisation, Big Data and Artificial Intelligence - IVM 2020, Prague, 2020.
    No prelo
  3. Bota, Patrícia. "Automatic Classification of Physiological Signals Modalities". 2018.
    Publicado • 10.19277/bbr.16.2.218
Artigo em revista
  1. Bota, Patrícia; Brito, Joana; Fred, Ana; Cesar, Pablo; Hugo Plácido da Silva. "A real-world dataset of group emotion experiences based on physiological data". Scientific Data 11 1 (2024): http://dx.doi.org/10.1038/s41597-023-02905-6.
    Publicado • 10.1038/s41597-023-02905-6
  2. Bota, Patrícia; Zhang, Tianyi; El Ali, Abdallah; Fred, Ana; Hugo Plácido da Silva; Cesar, Pablo. "Group Synchrony for Emotion Recognition Using Physiological Signals". IEEE Transactions on Affective Computing 14 4 (2023): 2614-2625. http://dx.doi.org/10.1109/taffc.2023.3265433.
    Publicado • 10.1109/taffc.2023.3265433
  3. Silva, Rafael; Salvador, Gonçalo; Bota, Patrícia; Fred, Ana; Plácido da Silva, Hugo. "Impact of sampling rate and interpolation on photoplethysmography and electrodermal activity signals’ waveform morphology and feature extraction". Neural Computing and Applications (2022): http://dx.doi.org/10.1007/s00521-022-07212-6.
    10.1007/s00521-022-07212-6
  4. Silva, Rafael; Salvador, Gonçalo; Bota, Patrícia; Fred, Ana; Plácido da Silva, Hugo. "Impact of sampling rate and interpolation on photoplethysmography and electrodermal activity signals’ waveform morphology and feature extraction". Neural Computing and Applications (2022): http://dx.doi.org/10.1007/s00521-022-07212-6.
    10.1007/s00521-022-07212-6
  5. Patrícia Bota; Emmanuel Flety; Hugo Plácido da Silva; Ana Fred. "EmotiphAI: a biocybernetic engine for real-time biosignals acquisition in a collective setting". Neural Computing and Applications (2022): https://doi.org/10.1007/s00521-022-07191-8.
    10.1007/s00521-022-07191-8
  6. Patrícia Bota; Chen Wang; Ana Fred; Hugo Silva. "Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?". Sensors 20 17 (2020): 4723-4723. https://doi.org/10.3390/s20174723.
    10.3390/s20174723
  7. Barandas, Marília; Folgado, Duarte; Fernandes, Letícia; Santos, Sara; Abreu, Mariana; Bota, Patrícia; Liu, Hui; Schultz, Tanja; Gamboa, Hugo. "TSFEL: Time Series Feature Extraction Library". SoftwareX 11 (2020): 100456. http://dx.doi.org/10.1016/j.softx.2020.100456.
    Acesso aberto • Publicado • 10.1016/j.softx.2020.100456
  8. Bota, Patrícia. "A Dissimilarity-based Approach to Automatic Classification of Biosignal Modalities". Applied Soft Computing (2020):
    Em revisão
  9. Bota, Patrícia; Silva, Joana; Folgado, Duarte; Gamboa, Hugo. "A Semi-Automatic Annotation Approach for Human Activity Recognition". Sensors 19 3 (2019): 501. http://dx.doi.org/10.3390/s19030501.
    Acesso aberto • Publicado • 10.3390/s19030501
  10. Patricia J. Bota; Chen Wang; Ana L. N. Fred; Hugo Placido Da Silva. "A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals". IEEE Access 7 (2019): 140990-141020. https://doi.org/10.1109/ACCESS.2019.2944001.
    Acesso aberto • Publicado • 10.1109/ACCESS.2019.2944001
Poster em conferência
  1. Salvador, Gonçalo Filipe Duarte; Bota, Patrícia J.; Vinayagamoorthy, Vinoba; Plácido da Silva, Hugo; Fred, Ana. "Smartphone-based Content Annotation for Ground Truth Collection in Affective Computing". Trabalho apresentado em ACM International Conference on Interactive Media Experiences, 2021.
    10.1145/3452918.3465505
Tese / Dissertação
  1. Bota, Patrícia. "Human Activity Annotation based on Active Learning". Mestrado, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2018.

Outros

Outra produção
  1. Data logger app for data acquisition with the FMCI Xinhua Net device using Python.. 2019. Bota, Patrícia. https://github.com/PIA-Group/python-fmci-datalogger-example.
  2. Private repository for the DATAWE project. 2019. Bota, Patrícia. https://github.com/PatriciaBota/DATAWE.
  3. A toolbox for biosignal processing written in Python.. 2019. Bota, Patrícia. https://github.com/PatriciaBota/BioSPPy.
Software
  1. Bota, Patrícia. "EmotiphAI: AI-powered Emotional Wellbeing for Everyone". 2022.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/10/13 Computational Methods for Individual and Group-Level Emotion Recognition Anual Congress Sociedade Brasileira de Fisiologia
Sociedade Brasileira de Fisiologia (Online, Brasil)
2021/03/27 Introduction to Machine Learning Workshop: Introduction to biomedical instrumentation and Machine Learning
Pedro Morouço Master Class in Exercise Prescription and Health Promotion, Politécnico de Leiria (Leiria, Portugal)
2020/11/24 Invited Speaker at weekly group meeting at SMC INESC TEC: Sentic State Assessment in a Connected World This presentation goal was to show some of the developed work within the thesis. Weekly Group Meetings at SMC INESC TEC
INESC TEC (Portugal)
2020/10/22 WORKSHOP: Physiological Computing, Classification Of Biosignals. Introduction To Machine Learning Techniques And To Artificial Intelligence In Physiological Signals. Sociedade Brasileira de Fisiologia
SBFIs
2020/02/29 Workshop: Introduction to biomedical instrumentation and data science for the Master Class in Exercise Prescription and Health Promotion Workshop at IPL Master in Exercise Prescription and Health Promotion
Instituto Politécnico Leiria (Leiria, Portugal)
2019/10/24 Physiological Signal Processing- Brief introduction to physiological signals, data processing and hands-on workshop showing the application of machine learning techniques to the problem of emotion recognition. Introduction To Biomedical Engineering lecture
Instituto Superior Técnico- University of Lisbon (Lisbon, Portugal)

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2019/01/28 - 2019/01/28 Machine Learning + TSFEL hands-on workshop (2019/01/28 - 2019/01/28)
Oficina (workshop) (Coorganizador)
 Associação Fraunhofer Portugal Research, Portugal

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2023/09/10 - 2023/09/10 Took part in Speed Dating event organized by Associação Nacional de Estudantes de Engenharia Biomédica.
Congresso
 III BIOMEDICAL ENGINEERING SUMMIT
Universidade de Coimbra Departamento de Física, Portugal
2022/10/14 - 2022/10/14 Demonstration of the EmotiphAI Core at the Festival internacional de Ciência 2022 with ScientISST team.
Festival
 Festival internacional de Ciência 2022
2022/06/23 - 2022/06/23 Neurosecurty Demo at University of Tartu in cooperation with elektroc. The audience physiological response was collected using EmotiphAI R-IoT during an online live event. The moments were the audience responded with higher intensity was shown at the end for the audience to comment. https://elektron.art/projects/experiment/voogteater
Exposição
 Online theatre as a research instrument
Õendusteaduse Osakond, Estónia
2019/11/04 - 2019/11/07 FMCI Xinhuanet representative at Web Summit 2019
Conferência
 Web Summit
Xinhuanet Future Media Convergence Institute (FMCI), China
2019/10/14 - 2019/10/19 DataWe is a neurocinematics show where the participants’ psychophysiological reactions influence the narrative, audio and visual media of a film. The performance focused on the struggles of an European immigrant, to which the “neuronauts” reactions are measured using an Electrodermal Activity sensor. This device, especially suitable for collective data acquisition in real time, measures the emotional arousal throughout the screening. Then, from the individual reactions, a collective a affect affective waveform of the neuronauts is computed.
Festival
 Resonances III Art-Science Festival
European Commission Joint Research Centre Ispra Sector, Itália

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2022/10/25 - 2022/10/25 Theoretical lesson on Decision Fusion Classification Machine Learning in Bioengineering Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/09/27 - 2021/11/26 Unsupervised Approach To Emotional Assessment - MLB Ana Matoso 89787 | Diogo Vieira 89794 | Inês Arana 89805 Engenharia Biomédica Universidade de Lisboa Instituto Superior Técnico, Portugal
2020/02/17 - 2021/06/04 Teaching Assistant in the lab classes for "Machine Learning in Bioengineering" taught at ULisboa - IST Involved in the development of the teaching material and assistance during the laboratory class. Machine Learning in Bioengineering (Mestrado integrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2019/10/13 - 2021/01/08 Teaching Assistant for Portfólio Meec Engenharia Electrónica (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal

Tutoria

Tópico Nome do aluno
2023/09/11 - Atual Sofia Morgado - PIC2 Sofia Morgado
2023/09/01 - Atual PIC2 - Max Supelnic Max Supelnic
2023/01/25 - Atual Firmware and Hardware Developer - ScientISST Frederico Almeida Santos
2022/03/01 - Atual Neurosecurity Joana Brito
2022/01/01 - Atual Emotion Recognition in Audio-Visual João Alves
2023/04/01 - 2023/08/01 Kubernetes for group data collection - EmotiphAI Diogo Venâncio
2022/12/01 - 2023/07/19 Epilepsy monitoring wearable - EDA signal measuring on palm and wrist Mafalda Morgado
2023/05/02 - 2023/06/30 Emotional Content Analysis in Movies - PIC1 Tomás Talento
2023/05/02 - 2023/06/30 Emotion Analysis using Facial Expression Recognition - PIC1 Inês Salema
2023/04/01 - 2023/06/30 Emotion Recognition from Biomedical Signals - IEB Bruno Massano, Jose Caldeira, Leonor Belchior, Margarida Nunes, Maria do Carmo Guimarães
2022/10/01 - 2022/12/01 Exploration of Group Data for Emotion Assessment - MLB Camila Vieira Lino da Costa, Henrique João Machado Borges
2022/10/01 - 2022/12/01 Personality assessment from ECG data - MLB Mikael Martois1, Aymane Boustta
2022/04/01 - 2022/11/01 Integration of ScientISST Core in EmotiphAI Alexandra Esperança Gonçalves
2021/09 - 2022/01 Real-World Data Collection Pedro Correia
2021 - 2021/11/18 Real World Group Emotional Analytics Using Eletrodermal Activity Signals Gonçalo Salvador
2020/09/21 - 2021/01/10 Harnessing the Collective Intelligence of Biosignals from Audiences for Affective Computing - IEB Filipa Neves, Gonçalo Silva, Inês Pinhão, José Penedos, Marisa Silva Sofia Morais
2019/09/16 - 2019/12/20 Harnessing the Collective Intelligence of Biosignals Collected from Audiences for Affective Computing - IEB Guilherme Soares, João Alves, Susana Cruz