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The evolution of trends and technology in wearable sensors used to detect falls in people with neurodegenerative diseases: a systematic review
The evolution of trends and technology in wearable sensors used to detect falls in people with neurodegenerative diseases: a systematic review
BackgroundNeurodegenerative diseases (NDs) are a significant threat to human health. Numerous research demonstrated that p...
Learning-based object's stiffness and shape estimation with confidence level in multi-fingered hand grasping
1 Introduction Human beings possess a remarkable capacity to discern physical characteristics of grasped objects, such as...
Multimodal robot-assisted English writing guidance and error correction with reinforcement learning
1 Introduction In the current field of natural language processing, English Text Generation technology is becoming increa...
ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching
Simultaneous Localization and Mapping (SLAM) is a technology that enables robots to determine their location and construct...
MusicARLtrans Net: a multimodal agent interactive music education system driven via reinforcement learning
1 Introduction The technology of music voice recognition holds extensive application potential not only in areas such as ...
A multimodal travel route recommendation system leveraging visual Transformers and self-attention mechanisms
A multimodal travel route recommendation system leveraging visual Transformers and self-attention mechanisms
1 Introduction In recent years, with the improvement of living standards and the increasing demand for travel, efficientl...
Immersive interfaces for clinical applications: current status and future perspective
1 Introduction Digital immersive technologies have attracted considerable interest in the landscape of biomedical resear...
EEG-based action anticipation in human-robot interaction: a comparative pilot study
1 Introduction The ubiquity and omnipresence of technology in modern life has raised the necessity in understanding how h...
Posture-invariant myoelectric control with self-calibrating random forests
1 Introduction Myoelectric control has emerged as a promising approach in human-machine interfaces. By recognizing differ...
An improved graph factorization machine based on solving unbalanced game perception
1 Introduction Mobile games gained a large share of global business, especially during the COVID-induced dead season for...
Unmanned aerial vehicles for human detection and recognition using neural-network model
1 Introduction Recognizing human actions from drone-captured video is a challenging task that requires processing visual...
3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal
1 Introduction Brain-Computer Interfaces (BCIs) enable direct connection between a user and a machine by translating bra...
Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns
1 Introduction The task of segmenting color patterns in ancient architectural images is crucial for the preservation, res...
Edge-guided feature fusion network for RGB-T salient object detection
1 Introduction Salient object detection (SOD) aims to find the most noticeable area or target in an image, and has develo...
EEG-powered cerebral transformer for athletic performance
1 Introduction The growing need for advanced athletic performance analysis has led to increased interest in leveraging El...
MGFusion: a multimodal large language model-guided information perception for infrared and visible image fusion
1 Introduction In recent years, image fusion technology has garnered significant attention in the field of computer visio...
Architectural planning robot driven by unsupervised learning for space optimization
1 Introduction Optimizing architectural spaces and 3D reconstruction are pivotal challenges in modern urban planning and ...
MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation
1 Introduction In recent years, deep neural networks have been widely used in different fields (Chollet, 2017; Wu et al....
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition
1 Introduction Emotion plays a crucial role in our daily lives, manifesting through various forms such as auditory cues, ...
KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters
It is the most fundamental task to track the hidden state of a dynamical system by using the noisy measurements in real-ti...
RL-QPSO net: deep reinforcement learning-enhanced QPSO for efficient mobile robot path planning
and corresponding control inputs U = that minimize a cost function J(Q, U), subject to constraints on dynamics, control ...
Player detection method based on scale attention and scale equalization algorithm
Player detection method based on scale attention and scale equalization algorithm
IntroductionObject detection methods for team ball games players often struggle due to their reliance on dataset scale sta...
Mobip: a lightweight model for driving perception using MobileNet
Mobip: a lightweight model for driving perception using MobileNet
The visual perception model is critical to autonomous driving systems. It provides the information necessary for self-driv...
Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Health monitoring is a critical aspect of personalized healthcare, enabling early detection, and intervention for various ...
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky be...
A visual questioning answering approach to enhance robot localization in indoor environments
A visual questioning answering approach to enhance robot localization in indoor environments
Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an i...
Social robots as effective language tutors for children: empirical evidence from neuroscience
Social robots as effective language tutors for children: empirical evidence from neuroscience
The aim of the current study was to investigate children's brain responses to robot-assisted language learning. EEG br...
Editorial: Women in neurorobotics
Editorial: Women in neurorobotics
Understanding the neural mechanisms of empathy toward robots to shape future applications: This article, authored by Jenna...
Research on system of ultra-flat carrying robot based on improved PSO algorithm
Research on system of ultra-flat carrying robot based on improved PSO algorithm
Ultra-flat carrying robots (UCR) are used to carry soft targets for functional safety road tests of intelligent driving ve...
Voting based double-weighted deterministic extreme learning machine model and its application
Voting based double-weighted deterministic extreme learning machine model and its application
This study introduces an intelligent learning model for classification tasks, termed the voting-based Double Pseudo-invers...
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