1 / 7

Enhancing Environment Control with Tongue Drive System for Individuals with Physical Impairments

The Tongue Drive System (TDS) is an innovative assistive technology designed for individuals with severe physical impairments, enabling them to control their environments using tongue movements. This system features various command classifications, including right-side and left-side commands, and employs advanced algorithms like Bayesian and KNN classifiers for precise control. Recent human trials involved able-bodied participants from Northwestern University and Georgia Tech, exploring effectiveness in left-side versus right-side classification. Results indicate promising advancements in assistive technology, enhancing autonomy for users.

orrick
Télécharger la présentation

Enhancing Environment Control with Tongue Drive System for Individuals with Physical Impairments

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Introduction A tongue-operated assistive technology that enables individuals with severe physical impairments to control their environments.

  2. Tongue Drive System: Hardware 3 4 1 1 2

  3. Tongue Drive System: Commands Right-Side Commands Left-Side Commands TDS Waveforms Samples of each Command TDS Discrete Commands Positions

  4. Terminology • Five Bayesian: • Linear • Dia. Linear • Quadratic • Dia. Quad. • Mahalanobis • Four KNNs: • Euclidean • City Block • Cosine • Correlation • Classifier Combinations • Stacking • Majority Voting (Nine Classifiers) • Assessment • Correctness • Rejection Error • Misclassification Error

  5. Previous Work: mSSP Algorithm Resting Left Up Left Click Resting Right Down Right Click

  6. Methodology • Human Trials Dataset: • Able-bodied subjects from two Universities (4-NUB & 4-GTB) • 8 participants x 5 sessions = 40 experiments ITR Calibration Training Testing

  7. Results and Analysis:First Stage: Left-Side vs. Right-Side Classification NUB = Northwestern University GTB = Georgia Tech 20.1% 2.02%

More Related