TicTorque: Diagnosing Effects of Blink Tics Through Mobile EEG Headsets

TicTorque: Diagnosing Effects of Blink Tics Through Mobile EEG Headsets


Publication/Creation Date
September 9 2015
Creators/Contributors
Rahul Majethia (creator)
Anurag Joshi (creator)
Ishita Dasgupta (creator)
Meghna Joshi (creator)
Shiv Nadar University (contributor)
University Of Massachusetts (contributor)
Media Type
Journal Article
Persuasive Intent
Academic
Description
In this work, we aim to explore the use of non-invasive, wearable EEG headsets for detecting and diagnosing the effects of blink tics. First, we demonstrate the use of the headset in the accurate detection of blink tics as compared to more expensive and cumbersome technology. Comparing against invasive facial monitoring techniques using Smartphones, EEG driven detection is able to achieve 80% accuracy in correctly detected events, with a detection delay of less than one second. Next, we use these headsets to draw a positive correlation between excessive blinking and deterioration in attention and performance to support past research, and demonstrate that time taken for the same work can increase up to 300% depending on the type of work, due to excessive blinking. Finally, we make a case for applications involving the use of EEG headsets to monitor and aid students and workers with blink tics to ensure equitable time conditions.
HCI Platform
Wearables
Discursive Type
Inventions
Location on Body
Head

Date archived
November 1 2015
Last edited
May 24 2019
How to cite this entry
Rahul Majethia, Anurag Joshi, Ishita Dasgupta, Meghna Joshi. (September 9 2015). "TicTorque: Diagnosing Effects of Blink Tics Through Mobile EEG Headsets ". 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp/ISWC 2015 Adjunct). International Joint Conference On Pervasive And Ubiquitous Computing Adjunct Publication. Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/1345