Results 41 to 50 of about 14,933 (208)

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Driver distraction detection via multi‐scale domain adaptation network

open access: yesIET Intelligent Transport Systems, 2023
Distracted driving is the leading cause of road traffic accidents. It is essential to monitor the driver's status to avoid traffic accidents caused by distracted driving.
Jing Wang, ZhongCheng Wu
doaj   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

open access: yesAdvanced Robotics Research, EarlyView.
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

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

NeuroSafeDrive: An Intelligent System Using fNIRS for Driver Distraction Recognition

open access: yesSensors
Driver distraction remains a critical factor in road accidents, necessitating intelligent systems for real-time detection. This study introduces a novel fNIRS-based method to to classify varying levels of driver distraction across diverse simulated ...
Ghazal Bargshady   +6 more
doaj   +1 more source

Real‐Time Holographic Feedback via Mixed Reality Sensorized Laryngoscope Training System Enhances Pediatric Intubation Training

open access: yesAdvanced Robotics Research, EarlyView.
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li   +5 more
wiley   +1 more source

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

open access: yesAdvanced 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   +16 more
wiley   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

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

open access: yesEuropean 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   +3 more
doaj   +1 more source

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