Results 31 to 40 of about 121,839 (252)

Instances of Failures, Maintenance, and Repair in Smart Driving

Tecnoscienza, 2016
The paper focuses on technology designers’ representations and discourses about advanced driving assistance systems (ADAS). This issue has been empirically explored by means of seven in-depth interviews with academic experts in intelligent transportation
Oana Stefana Mitrea
doaj   +1 more source

Ground Truth Data Generator for Eye Location on Infrared Driver Recordings

Journal of Imaging, 2021
Labeling is a very costly and time consuming process that aims to generate datasets for training neural networks in several functionalities and projects.
Sorin Valcan, Mihail Gaianu
doaj   +1 more source

Multi-Timescale Drowsiness Characterization Based on a Video of a Driver’s Face

Sensors, 2018
Drowsiness is a major cause of fatal accidents, in particular in transportation. It is therefore crucial to develop automatic, real-time drowsiness characterization systems designed to issue accurate and timely warnings of drowsiness to the driver.
Quentin Massoz, Jacques G. Verly, Marc Van Droogenbroeck   +2 more
doaj   +1 more source

Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals

Sensors, 2022
Mental workload (MW) represents the amount of brain resources required to perform concurrent tasks. The evaluation of MW is of paramount importance for Advanced Driver-Assistance Systems, given its correlation with traffic accidents risk.
Daniela Cardone, David Perpetuini, Chiara Filippini, Lorenza Mancini, Sergio Nocco, Michele Tritto, Sergio Rinella, Alberto Giacobbe, Giorgio Fallica, Fabrizio Ricci, Sabina Gallina, Arcangelo Merla   +11 more
doaj   +1 more source

Occlusion-aware Driver Monitoring System using the Driver Monitoring Dataset

CoRR
Submitted for review to the IEEE International Conference on Intelligent Transportation Systems (ITSC ...
Paola Natalia Cañas, Alexander Diez, David Galvañ, Marcos Nieto, Igor Rodríguez   +4 more
openaire   +2 more sources

Enhancing Road Safety: Fast and Accurate Noncontact Driver HRV Detection Based on Huber–Kalman and Autocorrelation Algorithms

Biomimetics
Enhancing road safety by monitoring a driver’s physical condition is critical in both conventional and autonomous driving contexts. Our research focuses on a wireless intelligent sensor system that utilizes millimeter-wave (mmWave) radar to monitor heart
Yunlong Luo, Yang Yang, Yanbo Ma, Runhe Huang, Alex Qi, Muxin Ma, Yihong Qi   +6 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Improved Early Referral in Long‐Term Survivor Care With Institutional Standardized Practice Among Childhood Leukemia Survivors#

Pediatric Blood &Cancer, EarlyView.
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark, Kayla L. Foster, Omar Shakeel, Mary C. Shapiro, Shawki L. Qasim, ZoAnn Dreyer, Eric S. Schafer, Ashley M. Butler, Austin L. Brown, Maria Monica Gramatges   +9 more
wiley   +1 more source

Framework, Implementation, and User Experience Aspects of Driver Monitoring: A Systematic Review

Applied Sciences
Driver monitoring systems (DMS), advanced driver assistance ssystems (ADAs), and technologies for autonomous driving, along with other upcoming innovations, have been developed as possible solutions to minimize accidents resulting from human error.
Luis A. Salazar-Calderón, Sergio Alberto Navarro-Tuch, Javier Izquierdo-Reyes   +2 more
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall, Emma N. Harrison, Genevieve C. Kendall   +2 more
wiley   +1 more source