Results 61 to 70 of about 827,061 (282)
Distracted Driving in the United States [PDF]
Distracted driving is a popular topic throughout the world, esspecially within the United States. Although, distracted driving is not the most deadly problem in the United States, all of these deaths are preventable if the distractions are put down. Most
Trombley, Jess
core
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Talk to your teen about distracted driving [PDF]
Distracted driving isn't just texting. Teens take photos, use Snapchat, social media and browse the internet while driving.
South Carolina Department of Insurance
core +1 more source
Detecting Distracted Driving with Deep Learning [PDF]
Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving. A deep learning approach is then presented for the detection of such driving behaviors using images of the driver, where an enhancement has been made to a standard convolutional neural network (CNN ...
Ofonime Dominic Okon, Li Meng
openaire +2 more sources
Detection of Driving Distractions and Their Impacts
For decades, road crashes have caused many deaths and injuries and generally have had a severe social and economic impact on societies. According to studies, driver distraction has led to an increase in driving‐related risks. In recent years, there have been more distracting factors that commonly affect drivers, highlighting the need for a resolution ...
Arian Shajari +7 more
openaire +3 more sources
Prediction performance for different categories of distracted driving behaviors.
Prediction performance for different categories of distracted driving behaviors.
Xue Wang (102830) +4 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Analysis bibliometrics driving distraction
The driving process is a very complex activity like awareness, retrieval decision, and execution. Introduction Circumstances distracting the driver are significant for ensuring the driver's safety. Therefore, research This study trends article about distracted driving. Data from the Scopus database is collected, published between 2013 and December 2022,
Vivin Noviatun Jannah +2 more
openaire +2 more sources
Herein, a pure deep blue room‐temperature phosphorescence (415 nm) with lifetime up to 2.45 s is successfully achieved by a covalently crosslinking purely organic material based on boric acid (BA) and 3,5‐dicarboxyphenylboronic acid (BOP) through a simple dehydration reaction, which can be adjusted precisely by supramolecular coordination with ...
Jun Wang +5 more
wiley +1 more source
Brain Network Dynamics of Local and Global Predictive Processing in Aging
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen +9 more
wiley +1 more source

