Integrative Multimodal Communication for ALS Patients Using iPad

Abstract

In this phase, we have significantly improved EyeCanDo for much improved accuracy and typing rates, and extended list of functionalities, and we also did preliminary studies on BCI EEG headsets. These include: 1) Integration of facial expressions and eye gaze to accelerate target selections; 2)Intelligent typing, 3) improved eye gaze estimation and target selection, 2) gaming functionalities, 5) Social media and ChatGPT integration, 6) adaption to iPhone; 6) evaluation of EEG headsets and 7) prototyping BCI interfaces.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1204427

Entities

People

  • Fusheng Wang

Organizations

  • State University of New York

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Anomaly Detection
  • Assistive Technologies
  • Bayesian Networks
  • Biomedical Research
  • Brain Injuries
  • Brain-Computer Interfaces
  • Change Detection
  • Cognitive Systems Engineering
  • Computers
  • Data Processing
  • Electronic Mail
  • Eye Tracking
  • Health Services
  • Human-Computer Interaction
  • Maryland
  • Media
  • Medical Personnel
  • Models
  • Professional Development
  • Social Media
  • Test And Evaluation
  • United States
  • User Interface
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neural Network Machine Learning.