Development of a Blinkcommunicator for Communication Aid Using a Blink Switch

In this study, we developed a prototype of a blink-based communication device called the “Blinkcommunicator” to verify the feasibility of creating a simple and practical system for selecting picture card messages focusing on blinking. Users of this device blink to select a target from among eight rapidly flashing options (picture cards). The blink-related changes in eye potentials are detected in real-time using a pattern recognition method (referred to as the “blink switch”). Assuming this system as a cognitive task, we investigated whether participants, consisting of 14 healthy individuals, could accurately select the target specified by the blinking switch (target decoding accuracy based on pattern recognition). As a result, the patterns of blinks associated with task performance (particularly peak amplitude and latency) were consistent within individuals, leading to a remarkably high decoding accuracy averaging over 95%. This further enhances expectations for the practical application of this system.

Authors

Institutions

Publication Details

Journal
Transactions of Japan Society of Kansei Engineering
Published
2024-09-03
DOI
https://doi.org/10.5057/jjske.tjske-d-24-00017
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Blinkcommunicator for Communication Aid Using a Blink Switch

Shinya Watanabe, Ryohei Hasegawa
Transactions of Japan Society of Kansei Engineering
EEG and Brain-Computer Interfaces
article

Development of a Blinkcommunicator for Communication Aid Using a Blink Switch

Shinya Watanabe, Ryohei Hasegawa
article en

Abstract

In this study, we developed a prototype of a blink-based communication device called the “Blinkcommunicator” to verify the feasibility of creating a simple and practical system for selecting picture card messages focusing on blinking. Users of this device blink to select a target from among eight rapidly flashing options (picture cards). The blink-related changes in eye potentials are detected in real-time using a pattern recognition method (referred to as the “blink switch”). Assuming this system as a cognitive task, we investigated whether participants, consisting of 14 healthy individuals, could accurately select the target specified by the blinking switch (target decoding accuracy based on pattern recognition). As a result, the patterns of blinks associated with task performance (particularly peak amplitude and latency) were consistent within individuals, leading to a remarkably high decoding accuracy averaging over 95%. This further enhances expectations for the practical application of this system.

Transactions of Japan Society of Kansei EngineeringVol. 24(1)
University of Tsukuba Hospital (JP), National Institute of Advanced Industrial Science and Technology (JP)
Openalex Percentile: Top 85%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of a Blinkcommunicator for Communication Aid Using a Blink Switch — Shinya Watanabe, Ryohei Hasegawa · Transactions of Japan Society of Kansei Engineering (2024) | TGRS Research Map | TGRS