Vision is considered one of the most important human senses. People acquire a large amount of data by reading, so the faster someone reads, the more information he/she should learn. However, this is not always the case. Electrooculography (EOG) plays a significant role in research on reading. We recorded the EOG signals with the JINS MEME ES_R smart glasses from eight subjects who read a text and then completed a reading comprehension test implemented as a multiple-choice test. Reading speed was calculated as the time of reading the text with a constant number of words. The visualization of reading was based on detecting the saccades in the horizontal component of the EOG signal. The algorithm consists of signal preprocessing and FCM (fuzzy c-means) thresholding. Three types of saccades and their duration were detected and associated with blinking, eye movement to the left, and eye movement to the right. The developed application shows the reading process with the use of an animation of eye-walking on the text. The application tests carried out show that it works properly.
|Title of host publication
|Lecture Notes in Networks and Systems
|Number of pages
|Published - 01.06.2022
|Innovations in Biomedical Engineering 2020 - Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland
Duration: 08.10.2020 → 09.10.2020