13 documents found, page 1 of 2
Lower limb movement during 10-meter walk test: a dataset with inertial, magneti...
Santos, Maykol; Lindo, Andrés Caro; Albuquerque, Carlos; Coelho, Paulo Jorge; Pires, Ivan MiguelThis paper presents a dataset from a study analyzing lower limb movement during a 10-meter walk test. The study utilized SensorTileBox sensors integrated into shin pads to capture detailed movement and environmental data from participants. The sensors recorded 3D accelerometer data (in milligravities), 3D gyroscope data (degrees per second), magnetometer readings (milligauss), and temperature (°C). The dataset ...
A systematic review of artificial intelligence applications in education: emerg...
Matos, Tomás; Santos, Walter; Zdravevski, Eftim; Coelho, Paulo Jorge; Pires, Ivan Miguel; Madeira, FilipeThe academic world is becoming increasingly interested in the applications of Artificial Intelligence technology in education. A systematic review examines AI applications in education, focusing on their effectiveness, challenges, and implications. A comprehensive analysis of studies published between 2011 and 2024 encompassed 45 research articles from major databases, such as PubMed Central, IEEE Xplore, Elsev...
PERI_DEP: a dataset of mother's mental health in Pakistan
Zafar, Amna; Akram, Beenish Ayesha; Wasim, Muhammad; Maham; Pires, Ivan Miguel; Coelho, Paulo JorgePerinatal depression (PND) represents a multifaceted mental health issue that impacts women throughout the perinatal period. Existing datasets have a class imbalance issue, resulting in biased outcomes. In Pakistan, we developed a novel dataset called PERI_DEP. This dataset leverages the Patient Health Questionnaire (PHQ-9), Edinburgh Postnatal Depression Scale (EPDS), and socio-demographic questionnaires to ga...
Ten meter walk test with mobile devices: a dataset with accelerometer, magnetom...
Gabriel, Cristiana Lopes; Pires, Ivan Miguel; Gonçalves, Norberto Jorge; Coelho, Paulo Jorge; Zdravevski, Eftim; Lameski, Petre; Albuquerque, CarlosThis paper presents a dataset related to the performance of the Ten Meter Walking Test, a test to allow locomotor capacity in different research and clinical settings. One of the most important parameters to measure is the gait speed during a path of ten meters. The data available in this dataset consists of accelerometer, magnetometer, and gyroscope data acquired with a mobile device in a waistband. The experi...
Can sensors be used to measure the Arm Curl Test results? a systematic review
Matos, Tomás; Vornicoglo, Daniel; Coelho, Paulo Jorge; Zdravevski, Eftim; Albuquerque, Carlos; Pires, Ivan MiguelThere is growing interest in the automated measurement of physical fitness tests, such as the Arm Curl Test, to enable more objective and accurate assessments. This review aimed to systematically analyze the types of sensors and technological methods used for automated Arm Curl Test measurement and their benefits for different populations. The search consisted of the search related to the possibilities to measu...
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using mac...
Alazzawı, Athar; Aljumaili, Saif; Duru, Adil Deniz; Uçan, Osman Nuri; Bayat, Oğuz; Coelho, Paulo Jorge; Pires, Ivan MiguelSchizophrenia is a severe mental disorder that impairs a person’s mental, social, and emotional faculties gradually. Detection in the early stages with an accurate diagnosis is crucial to remedying the patients. This study proposed a new method to classify schizophrenia disease in the rest state based on neurologic signals achieved from the brain by electroencephalography (EEG). The datasets used consisted of 2...
An overview of machine learning algorithms to reduce driver fatigue and distrac...
Santos, Maykol; Coelho, Paulo Jorge; Pires, Ivan Miguel; Gonçalves, Pedro; Dias, Gonçalo PaivaSensor-equipped driver monitoring systems are a significant advancement in vehicle safety technology, continuously monitoring drivers’ condition and behavior using various sensors. These systems identify exhaustion, inattention, or impairment indicators to improve road safety. They can measure the driver’s focus and attentiveness by tracking their head position, eye movements, and facial expressions. If detecte...
Wearable solution for health monitoring of car drivers
Baiense, João Pedro; Coelho, Paulo Jorge; Pires, Ivan Miguel; Velez, Fernando J.The need for creative solutions in real-time health monitoring has been highlighted by the rise in health-related incidents involving drivers of motor vehicles. It has led to the development of wearable technology that seamlessly integrates with the Internet of Medical Things (IoMT) to improve driver safety and healthcare responsiveness. The development of a revolutionary wearable technology system is presented...
Método para identificação de atividades com acelerómetro e magnetómetro de disp...
Pires, Ivan Miguel; Coelho, Paulo Jorge; Gonçalves, Norberto JorgeINTRODUÇÃO: A deteção de atividades físicas por meio da fusão de dados de acelerómetro e magnetómetro de dispositivos móveis é de grande importância em várias aplicações, como monitorização de saúde, rastreamento de condição física e análise de movimentos. O objetivo deste estudo consiste na fusão de dados relacionados com cinco atividades físicas, tais como subir escadas, descer escadas, andar, estar parado e ...
Revisão de literatura à execução do Arm Curl Test com sensores
Fróis, Tomás; Pires, Ivan Miguel; Coelho, Paulo Jorge; Madeira, FilipeO “Arm Curl Test” é um teste para determinar a força e resistência dos membros superiores do corpo humano, sendo bastante utilizado para aferir a aptidão física da população idosa. A medição automatizada das variáveis relativas ao “Arm Curl Test” com sensores é de grande importância em várias aplicações, como monitorização de saúde, rastreio de aptidão física e análise de movimentos. O objetivo deste estudo foi...