Smartwatches in healthcare medicine: assistance and monitoring; a sco** review
M Masoumian Hosseini… - BMC Medical Informatics …, 2023 - Springer
Smartwatches have become increasingly popular in recent times because of their capacity
to track different health indicators, including heart rate, patterns of sleep, and physical …
to track different health indicators, including heart rate, patterns of sleep, and physical …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
A machine-learning approach for stress detection using wearable sensors in free-living environments
Stress is a psychological condition resulting from the body's response to challenging
situations, which can negatively impact physical and mental health if experienced over …
situations, which can negatively impact physical and mental health if experienced over …
Occupational stress monitoring using biomarkers and smartwatches: a systematic review
This article presents a systematic review of the literature concerning scientific publications
on wrist wearables that can help to identify stress levels. The study is part of a research …
on wrist wearables that can help to identify stress levels. The study is part of a research …
[HTML][HTML] Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing …
Abstract Background and Motivations Physiological signals, such as the
Photoplethysmogram (PPG) collected through wearable devices, consistently encounter …
Photoplethysmogram (PPG) collected through wearable devices, consistently encounter …
Privacy-preserving feature selection with secure multiparty computation
Existing work on privacy-preserving machine learning with Secure Multiparty Computation
(MPC) is almost exclusively focused on model training and on inference with trained models …
(MPC) is almost exclusively focused on model training and on inference with trained models …
MAUS: A dataset for mental workload assessmenton N-back task using wearable sensor
WK Beh, YH Wu - arxiv preprint arxiv:2111.02561, 2021 - arxiv.org
This paper describes an open-access database focusing on the study of mental workload
(MW) assessment system for wearable devices. A wristband photoplethysmogram (PPG) …
(MW) assessment system for wearable devices. A wristband photoplethysmogram (PPG) …
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia.
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
Cognitive load approach to digital comics creation: A student-centered learning case
D Apostolou, G Linardatos - Applied Sciences, 2023 - mdpi.com
Featured Application The present work has applications in the field of primary and
secondary education. The work describes how educators can take advantage of digital …
secondary education. The work describes how educators can take advantage of digital …
[HTML][HTML] Can we ditch feature engineering? end-to-end deep learning for affect recognition from physiological sensor data
To further extend the applicability of wearable sensors in various domains such as mobile
health systems and the automotive industry, new methods for accurately extracting subtle …
health systems and the automotive industry, new methods for accurately extracting subtle …