A survey on biometric recognition using wearable devices
E Maiorana - Pattern Recognition Letters, 2022 - Elsevier
Thanks to their ability to monitor physical activity and health-related parameters, wearable
devices are becoming more and more popular. In addition to what they already offer, an …
devices are becoming more and more popular. In addition to what they already offer, an …
A comparative study of autoencoder architectures for mental health analysis using wearable sensors data
M Panagiotou, A Zlatintsi, PP Filntisis… - 2022 30th European …, 2022 - ieeexplore.ieee.org
In this study, the application of deep learning models for the detection of relapses in patients
with psychotic disorders (ie, bipolar disorder and schizophrenia) is examined, using …
with psychotic disorders (ie, bipolar disorder and schizophrenia) is examined, using …
Vibration sensing-based human and infrastructure safety/health monitoring: A survey
Current sensor technologies enable the passive and continuous monitoring of human
behaviors as well as infrastructures to ensure personal safety and assess individual health …
behaviors as well as infrastructures to ensure personal safety and assess individual health …
[HTML][HTML] PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review
The monitoring of hemodynamic parameters, such as heart rate and blood pressure,
provides valuable indications of overall cardiovascular health. It is preferable that such …
provides valuable indications of overall cardiovascular health. It is preferable that such …
Biowish: Biometric recognition using wearable inertial sensors detecting heart activity
Wearable devices have been recently proposed to perform biometric recognition, leveraging
on the uniqueness of the collectable physiological traits to generate discriminative …
on the uniqueness of the collectable physiological traits to generate discriminative …
E-prevention: Advanced support system for monitoring and relapse prevention in patients with psychotic disorders analyzing long-term multimodal data from …
Wearable technologies and digital phenotyping foster unique opportunities for designing
novel intelligent electronic services that can address various well-being issues in patients …
novel intelligent electronic services that can address various well-being issues in patients …
[HTML][HTML] Promoting fairness in activity recognition algorithms for patient's monitoring and evaluation systems in healthcare
C Mennella, M Esposito, G De Pietro… - Computers in Biology …, 2024 - Elsevier
Researchers face the challenge of defining subject selection criteria when training
algorithms for human activity recognition tasks. The ongoing uncertainty revolves around …
algorithms for human activity recognition tasks. The ongoing uncertainty revolves around …
The 2nd e-prevention challenge: Psychotic and non-psychotic relapse detection using wearable-based digital phenotyping
The 2nd e-Prevention challenge 1 aims to foster innovative research in the prediction and
identification of mental health relapses by an-alyzing and processing the digital phenotype …
identification of mental health relapses by an-alyzing and processing the digital phenotype …
From digital phenotype identification to detection of psychotic relapses
Timely detection of relapses constitutes an important step towards improving the quality of
life in patients with psychotic disorders. In this paper, we design a novel framework for …
life in patients with psychotic disorders. In this paper, we design a novel framework for …
Dataset bias in human activity recognition
When creating multi-channel time-series datasets for Human Activity Recognition (HAR),
researchers are faced with the issue of subject selection criteria. It is unknown what physical …
researchers are faced with the issue of subject selection criteria. It is unknown what physical …