Results 41 to 50 of about 2,034 (255)

Lightweight Driver Monitoring System Based on Multi-Task Mobilenets

Sensors, 2019
Research on driver status recognition has been actively conducted to reduce fatal crashes caused by the driver’s distraction and drowsiness. As in many other research areas, deep-learning-based algorithms are showing excellent performance for ...
Whui Kim, Woo-Sung Jung, Hyun Kyun Choi
doaj   +1 more source

Driver Distraction Detection Using CNN

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: The ultimate aim of this project is to reduce the road accidents and there are several reasons for occurrence of large number of accidents. One of the main and biggest cause is the driver’s distraction while driving, so by detecting the driver’s distraction and giving an alert to maintain the driver’s focus can ultimately reduce the number of
openaire   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Detection of Distracted Driver using Convolution Neural Network

CoRR, 2022
With over 50 million car sales annually and over 1.3 million deaths every year due to motor accidents we have chosen this space. India accounts for 11 per cent of global death in road accidents. Drivers are held responsible for 78% of accidents. Road safety problems in developing countries is a major concern and human behavior is ascribed as one of the
Narayana Darapaneni, Jai Arora, MoniShankar Hazra, Naman Vig, Simrandeep Singh Gandhi, Saurabh Gupta, Anwesh Reddy Paduri   +6 more
openaire   +2 more sources

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

An Immediate‐Response Detection System for γ‐Hydroxybutyrate to Enhance Personal Safety in Social Environments

Advanced Science, EarlyView.
A graphene‐based electrical biosensor enables rapid and highly sensitive detection of GHB at 100 fm in both standard solutions and artificial urine, providing reliable point‐of‐need screening for drug‐facilitated sexual assault. The platform demonstrates strong selectivity, fast response, and a wide dynamic range, supporting accurate detection in ...
Jai Eun An, Jisung Kwak, Kyung Ho Kim, Chaeeun Kim, Sung Eun Seo, Nathaniel S. Hwang, Yong‐Sang Ryu, Hyun Seok Song, Oh Seok Kwon   +8 more
wiley   +1 more source

Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study

European Transport Research Review
Driver distraction and drowsiness are leading causes of traffic accidents. However, current monitoring systems often rely on fixed, population-level thresholds that limit generalizability and increase false-positive rates.
Sabrina Boujenfa, Petr Fiedler, Jitka Dluhá, Miroslav Jirgl   +3 more
doaj   +1 more source

Tensor RT optimized driver drowsiness detection system using edge device

Ain Shams Engineering Journal
Driver drowsiness has emerged as a major issue in terms of road safety, causing dangerous and sometimes even fatal accidents. Fatalities, serious injuries, monetary losses, and property damages highlight the direct consequences of driver drowsiness ...
Chandramohan Dhasarathan, Sambasivam Gnanasekaran, Arnab Pattanayak, Gourav Kumar, Kartik Vig, Vaibhav Narain, K.M. Deva Narayan, Sunidhi Garg   +7 more
doaj   +1 more source

Driver Cognitive Distraction Detection Using Driving Performance Measures

Discrete Dynamics in Nature and Society, 2012
Driver cognitive distraction is a hazard state, which can easily lead to traffic accidents. This study focuses on detecting the driver cognitive distraction state based on driving performance measures.
Lisheng Jin, Qingning Niu, Haijing Hou, Huacai Xian, Yali Wang, Dongdong Shi   +5 more
doaj   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source