Improvement of Input Time for Communication Aid on ALS Patients

Kitamura, Shota; Tanaka, Hisaya

doi:10.1541/ieejeiss.138.641

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(eq.6) ITR in our method was 22 bits/min ( = 2, = 94%, = 1.7 sec). For example, Kitamura's [8] research on the P300 speller for ALS patients showed BCI of 12 bits/min ( = 60, = 81%, = 21 sec). In addition, Geng's [9] motor imagery BCI was 16 bits/min ( = 4, = 68%, = 2 sec).…”

Section: Discussionmentioning

confidence: 99%

An Interface using Electrooculography with Closed Eyes

Tamaki

Fujimori

Tanaka

2019

ISASE

Self Cite

View full text Add to dashboard Cite

The purpose of our study was to determine the electrooculography (EOG) interface that can be used for amyotrophic lateral sclerosis (ALS) patients that can use without preparation. We proposed eye movement detection using Root Mean Square the active threshold (AT method) and k-nearest neighbor (k-NN) methods. The AT method is the threshold method that is dynamically calculated using the root mean square. This report describes the combined use of both methods. We conducted experiments on the waveform detection accuracy for 19 healthy subjects between the ages of 20 and 29 years. The hit rate for the proposed method was 94%, and the FA rate was 9%. Next, we calculated the information transfer rate (ITR), a popular evaluation index in for the brain-computer interface. (BCI). The minimum ITR using the proposed method was 19.02[bits/min]. The ITR of the P300 speller a BCI tool, was 16.4[bits/min]. The ITR of the proposed method was higher than that using the P300 speller. Therefore, it can be said that the proposed method has usefulness as an interface.

show abstract

Section: Discussionmentioning

confidence: 99%

An Interface using Electrooculography with Closed Eyes

Tamaki

Fujimori

Tanaka

2019

ISASE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The system has the potential to reduce the input time compared with the traditional switch systems, e.g., mouse click. Kitamura et al improved the input time for ALS patients by using Brain Computer Interface (BCI) [2]. The BCI is a lower physical stress method than eye-tracking.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Input Method by Myoelectric Potential Sensor for Eye-Tracking System

Mukai

Goto

2019

Proceedings of the 7th IIAE International Conference on Industrial Application Engineering 2019

View full text Add to dashboard Cite

Persons with a disability like ALS or SMA patients have difficulty in moving their bodies. One way to communicate with others for them is the eye-tracking system. However, some of them cannot keep their line of sight and fail their input operations by eye-tracking. Therefore, we developed an input method by myoelectric potential for eye-tracking users. It works like a mouse click and assists the user's operation when they choose an option on the display while using eye-tracking. In this paper, we compare with three input methods: eye-tracking with time, eye-tracking with a mouse click, and eye-tracking with a myoelectric potential. Our experimental result indicated that myoelectric potential based input method is competitive with other methods.

show abstract

Improvement of Input Time for Communication Aid on ALS Patients

Cited by 2 publications

References 8 publications

An Interface using Electrooculography with Closed Eyes

An Interface using Electrooculography with Closed Eyes

Evaluation of Input Method by Myoelectric Potential Sensor for Eye-Tracking System

Contact Info

Product

Resources

About