Closed-loop brain machine interface system for in-vehicle function controls using head-up display and deep learning algorithm

HH Shishavan, MM Behzadi, DJ Lohan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Human-vehicle interfaces have evolved with technologies such as touchscreens, voice
commands, and advanced steering wheels with control panels. However, these …

A Self-Powered Multifunctional Bracelet for Pulse Monitoring and Personal Rescue

W Sun, J Xue, P Tan, B Shi, Y Zou, Z Li - Biosensors, 2023 - mdpi.com
For outdoor workers or explorers who may be exposed to extreme or wild environments for a
long time, wearable electronic devices with continuous health monitoring and personal …

Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features

H Hamidi Shishavan, R Roy, K Golzari, A Singla… - Plos one, 2024 - journals.plos.org
Over the years, the driver-vehicle interface has been improved, but interacting with in-
vehicle features can still increase distraction and affect road safety. This study aims to …

[HTML][HTML] Autonomic Responses Associated with Olfactory Preferences of Fragrance Consumers: Skin Conductance, Respiration, and Heart Rate

B Tang, M Zhu, Y Wu, G Guo, Z Hu, Y Ding - Sensors, 2024 - mdpi.com
Assessing the olfactory preferences of consumers is an important aspect of fragrance
product development and marketing. With the advancement of wearable device …

Unsupervised Bayesian change point detection model to track acute stress responses

HH Shishavan, E Gossett, J Bi, R Henning… - … Signal Processing and …, 2024 - Elsevier
Understanding the complex nature of stress and its physiological manifestations stands as a
longstanding pursuit in modern psychology and healthcare. The limitation of existing deep …

Home-Based Dynamics of Sleepiness-Related Conditions Starting at Biological Evening and Later (Beyond Working)

V Demareva, I Zayceva, V Viakhireva… - International Journal of …, 2023 - mdpi.com
Shift work requires round-the-clock readiness to perform professional duties, and the
workers' performance highly depends on their sleepiness level, which can be …

Real Time Worker Stress Prediction in a Smart Factory Assembly Line

H Hijry, SMR Naqvi, K Javed, OH Albalawi… - IEEE …, 2024 - ieeexplore.ieee.org
This research contributes to a innovative approach to address the increasing issues of
workplace mental health and stress, particularly in high-pressure environments like …

Electrodermal Activity Monitoring with Flexible Dry Electrodes and AC Measurement

HH Shishavan, FMQ Severgnini… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Wearable sensing technology has transformed the healthcare landscape, shifting from
traditional hospital settings to more personalized home-based care. One prominent focus …

Automated Stress Level Detection for Hospital Nurses: A Single Triaxial Wearable Accelerometer Sensor System Approach

M Sakib, SS Pervez - 2023 20th International Conference on …, 2023 - ieeexplore.ieee.org
Advancements in wearable sensor technologies have revolutionized healthcare, particularly
in nurses stress level detection using accelerometer-based data. Accurate detection of nurse …

The Use of Machine Learning in Occupational Risk Communication for Healthcare Workers–Protocol for scoping review

GLA de Oliveira, CA Bonow… - medRxiv, 2024 - medrxiv.org
Introduction: With the development of technology, the use of machine learning (ML), a
branch of computer science that aims to transform computers into decision-making agents …