Integrative Multimodal Communication for ALS Patients Using iPad

reportActive / Technical Report | Accesssion Number: AD1204427 | Open PDF

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.

Author(s):
Wang, Fusheng
Author Organization(s):
STATE UNIV OF NEW YORK AT STONY BROOK
Funding Organization(s):
ARMY MEDICAL RESEARCH AND DEVELOPMENT COMMAND FORT DETRICK MD, FORT DETRICK , MD
Document Type:
Technical Report/Annual Report
Publication Date:
2023 Jun 01
Pagination:
10

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release

RECORD

Collection: TRECMS
Identifying Numbers
Grant Number(s):
W81XWH-22-1-0408
Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
social media, brain injuries, eye tracking, human-computer interaction, biomedical research, health services, united states, user interface, maryland, models, professional development, anomaly detection, bayesian networks, brain-computer interfaces, change detection, computers, data processing
Keyword(s):
Assistive technology, eye tracking, facial expression, brain-Computer Interfaces, EEG speller, P300, SSVEP, Human-Computer Interaction, amyotrophic lateral sclerosis
Subject Categories:
Biotechnology; Biological and Medical Sciences
Creation Date:
2023 Jun 27
Update Date:
2023 Aug 28