Image de couverture de livre

Cybersickness Detection through Head Movement Patterns: A Promising Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Salehi, Masoud, Javadpour, Nikoo, Beisner, Brietta, Sanaei, Mohammadamin, Gilbert, Stephen B.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Correlations of Scene Complexity, Workload, Presence, and Cybersickness in a Task-Based VR Game
par: Sanaei, Mohammadamin, et autres
Publié: (2024)

Distance-Aware Error for Spline Networks: A Bottom-Up Approach to Uncertainty
par: Ataei, Masoud, et autres
Publié: (2025)

Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
par: Avramidis, Kleanthis, et autres
Publié: (2025)

K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
par: Ataei, Masoud, et autres
Publié: (2025)

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
par: Petralia, Adrien, et autres
Publié: (2025)

Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study
par: Liebman, Elad
Publié: (2024)

Deep Learning Based Sphere Decoding
par: Mohammadkarimi, Mostafa, et autres
Publié: (2018)

An Unsupervised Approach for Periodic Source Detection in Time Series
par: Demirel, Berken Utku, et autres
Publié: (2024)

DoorINet: Door Heading Prediction through Inertial Deep Learning
par: Zakharchenko, Aleksei, et autres
Publié: (2024)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
par: Izadinasab, Kazem, et autres
Publié: (2024)

Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly Detection
par: Wang, Xiancheng, et autres
Publié: (2025)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
par: Foumani, Navid Mohammadi, et autres
Publié: (2024)

Evidence for Phenotype-Driven Disparities in Freezing of Gait Detection and Approaches to Bias Mitigation
par: Odonga, Timothy, et autres
Publié: (2025)

Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models
par: An, Yang, et autres
Publié: (2024)

Evaluating Classifier Confidence for Surface EMG Pattern Recognition
par: Furui, Akira
Publié: (2023)

Predicting Muscle Thickness Deformation from Muscle Activation Patterns: A Dual-Attention Framework
par: Lan, Bangyu, et autres
Publié: (2024)

Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder
par: Xu, Weiming, et autres
Publié: (2024)

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
par: Chou, Shih-Kai, et autres
Publié: (2025)

Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation
par: Moradi, Mohammadamin, et autres
Publié: (2024)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
par: Rashnu, Alireza, et autres
Publié: (2024)

Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification
par: Islam, Md Zobaer, et autres
Publié: (2023)

Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
par: Tian, Haozhe, et autres
Publié: (2025)

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems
par: Ahang, Maryam, et autres
Publié: (2026)

A Multiscale Approach for Enhancing Weak Signal Detection
par: Vimalajeewa, Dixon, et autres
Publié: (2025)

Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
par: Meng, Kuo, et autres
Publié: (2024)

Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference
par: Yoneda, Seitaro, et autres
Publié: (2025)

Compressed Sensing: A Discrete Optimization Approach
par: Bertsimas, Dimitris, et autres
Publié: (2023)

A Robust Probabilistic Approach to Stochastic Subspace Identification
par: O'Connell, Brandon J., et autres
Publié: (2023)

Recognition of Unseen Combined Motions via Convex Combination-based EMG Pattern Synthesis for Myoelectric Control
par: Yazawa, Itsuki, et autres
Publié: (2025)

A Network Science Approach to Granular Time Series Segmentation
par: Kesić, Ivana, et autres
Publié: (2025)

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series
par: Athanasoulias, Sotirios
Publié: (2025)

An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation
par: Rahimi, Masoud, et autres
Publié: (2025)

A Novel Combined Data-Driven Approach for Electricity Theft Detection
par: Zheng, Kedi, et autres
Publié: (2024)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
par: Maccay, Robbie, et autres
Publié: (2024)

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
par: Huang, Keke, et autres
Publié: (2024)

A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
par: Tadipatri, Uday Kiran Reddy, et autres
Publié: (2024)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
par: Rahman, Ratun, et autres
Publié: (2024)

A Transformer-Based Approach for Diagnosing Fault Cases in Optical Fiber Amplifiers
par: Schneider, Dominic, et autres
Publié: (2025)

A Heuristic-Integrated DRL Approach for Phase Optimization in Large-Scale RISs
par: Wang, Wei, et autres
Publié: (2025)

EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
par: Park, JuneYoung, et autres
Publié: (2024)