Miguel Velhote Correia

Universidade do Porto

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Co-Authors

Carlos Rodrigues

INESC TEC

Jurandir Nadal

Universidade Federal do Rio de Janeiro

João Abrantes

Hospital de Santa Maria

João Manuel R. S. Tavares

Universidade do Porto

M. A. B. Rodrigues

Universidade Federal de Pernambuco

João Paulo Vilas‐Boas

Universidade do Porto

Raquel R. Pinho

Universidade do Porto

Antonio J. Salazar

Universidad de Los Andes

Cláudia Silva

Polytechnic Institute of Porto

Inês Sousa

Fraunhofer Portugal Research

Cooperative Institutions

Universidade do Porto

104

University of Lisbon

INESC TEC

University of Minho

Polytechnic Institute of Porto

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento

Institute for Systems Engineering and Computers

University of Coimbra

Centre National de la Recherche Scientifique

Instituto Politécnico de Lisboa

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Secure Triplet Loss for End-to-End Deep Biometrics

João Ribeiro Pinto Jaime S. Cardoso Miguel Velhote Correia

Although deep learning is being widely adopted for every topic in pattern recognition, its use for secure and cancelable biometrics is currently reserved for feature extraction and biometric data preprocessing, limiting achievable performance. In this paper, we propose a novel formulation of the triplet loss methodology, designated as secure triplet loss, that enables biometric template cancelability with end-to-end convolutional neural networks, using easily changeable keys. Trained and evaluated for electrocardiogram-based biometrics, the network revealed easy to optimize using the modified triplet loss and achieved superior performance when compared with the state- of-the-art (10.63% equal error rate with data from 918 subjects of the UofTDB database). Additionally, it ensured biometric template security and effective template cancelability. Although further efforts are needed to avoid template linkability, the proposed secure triplet loss shows promise in template cancelability and non-invertibility for biometric recognition while taking advantage of the full power of convolutional neural networks.

Limiting

Feature (linguistics)

10.1109/iwbf49977.2020.9107958

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Citations (8)

The effect of short-term endurance and strength training on motor unit conduction velocity

Carolina Vila‐Chã Deborah Falla Miguel Velhote Correia Dario Farina

Motor unit

Endurance Training

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Built-in Self-Testing Infrastructure and Methodology for an EMG Signal Capture Module

Antonio J. Salazar Bruno Mendes José Machado da Silva Miguel Velhote Correia

SIGNAL (programming language)

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Monitoring of plantar forces and surfboard's movement: Alternative to understand the injuries mechanism

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2014)

Daniel Dezan de Bona Arcelina Marques Márcio Borgonovo-Santos Miguel Velhote Correia

The concern about injuries in sport are evident due to the implications it carries. To have the knowledge of the mechanisms of injuries is important either to prevent and recovery. This context generates the appropriate scenario to develop an electronic solution to measure dynamically the Center of Pressure (CoP) and surfboard's movement and support the understanding of the mechanisms responsible for the occurrence of injuries. Two matrices composed by 24 force sensors and Inertial Measurement Unit (IMU) controlled by ATEMEGA1280 microcontroller were developed. This system was tested using a dynamic protocol using one unstable structure at the bottom of the surfboard. The results have shown that the CoP displacement was largest during the tests that presented great rotation changes. Furthermore, the power oscillations were greater during transition moments. The proposed system is able to measure biomechanical variables dynamically, i.e., force, and surfboard's angle pitch and roll. This report reviews the surf injuries in literature and describes the electronic device used beyond to present the results of the tests performed.

Biomechanics

10.1109/memea.2014.6860063

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Citations (2)

Comparing multibody subject kinematics and dynamics on different gait modes

22nd Congress of the European Society of Biomechanics (2016)

Carlos Rodrigues Miguel Velhote Correia João Silva Abrantes Jurandir Nadal Marco Benedetti Rodrigues

Multibody system

Dynamics

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Lower limb assessment of dynamic stiffness on different human maximum vertical jump

Carlos Rodrigues Miguel Velhote Correia João Abrantes M. A. B. Rodrigues Jurandir Nadal

This study assesses in vivo and noninvasive human lower limb dynamic stiffness at different muscle stretch-shortening cycle (SSC) on maximum vertical jump (MVJ) with long, short and without countermovement. A small sample of n=6 healthy young adult male students of sports and physical education degree without past injuries, specific training or sports record were assessed after informed consent according to the world medical association declaration of Helsinki. Subjects were weighted (76.7 ± 9.3) kg and their height measured (178.9 ± 6.3) cm performing each three trials of MVJ namely squat jump (SJ), countermovement jump (CMJ) and drop jump (DJ) from a step with 40 cm height. Ground reaction forces (GRF) were acquired during impulse phase with AMTI force plate BP2416-4000 CE and Mini Amp MAS-6 amplifier at 1000 Hz. Vertical acceleration (az) of whole body center of gravity (BCG) obtained from resultant vertical ground reaction force (RFz) was time integrated twice for calculation of vertical displacement (Δz) of BCG and dynamic stiffness obtained from slopes at different segmented subphases of RFz mass normalized RFz/m vs Δz plot during impulse phase. Results of vertical dynamic stiffness during impulse phase point for inter-subject similarities at each type of MVJ and statistical significative differences (p<;0.05) between SJ, CMJ and DJ with impact on MVJ optimization.

Vertical jump

Ground reaction force

Plyometrics

Force platform

Reaction

10.1109/enbeng.2019.8692555

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Citations (1)

Linearity assessment between lower limb joint angles and angular accelerations at standard maximum vertical jumps with long-short and no countermovement

Gait & Posture (2023)

Carlos Rodrigues Miguel Velhote Correia João Abrantes Marco Benedetti Jurandir Nadal

10.1016/j.gaitpost.2023.07.211

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P 214 A new spectral analyser for integration in ophthalmic instruments

Vision Research (1995)

JoséB.P.S. Simöes Miguel Velhote Correia José Paulo Domingues Carlos Correia

Analyser

10.1016/0042-6989(95)90530-8

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Active illumination single-pixel camera based on compressive sensing

Applied Optics (2011)

Filipe Magalhães F. M. Araújo Miguel Velhote Correia Mehrdad Abolbashari Faramarz Farahi

We present an optical imaging system based on compressive sensing (CS) along with its principal mathematical aspects. Although CS is undergoing significant advances and empowering many discussions and applications throughout various fields, this article focuses on the analysis of a single-pixel camera. This work was the core for the development of a single-pixel camera approach based on active illumination. Therefore, the active illumination concept is described along with the experimental results, which were very encouraging toward the development of compressive-sensing-based cameras for various applications, such as pixel-level programmable gain imaging.

CMOS Sensor

10.1364/ao.50.000405

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Citations (62)

Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes

Lecture notes in computer science (2023)

Carlos Santiago Miguel Velhote Correia M. Rita Verdelho Alceu Bissoto Catarina Barata

Black box

Deep Neural Networks

Similarity (geometry)

10.1007/978-3-031-47401-9_5

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Citations (2)