Real-Time "Eye-Writing" Recognition Using Electrooculogram
- Title
- Real-Time "Eye-Writing" Recognition Using Electrooculogram
- Author
- 임창환
- Keywords
- Assistive devices; biomedical signal processing; electrooculography (EOG); human-computer interaction (HCI); pattern analysis; rehabilitation
- Issue Date
- 2017-03
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v. 25, no. 1, page. 37-48
- Abstract
- Eye movements can be used as alternative inputs for human-computer interface (HCI) systems such as virtual or augmented reality systems as well as new communication ways for patients with locked-in syndrome. In this study, we developed a real-time electrooculogram (EOG)-based eye-writing recognition system, with which users can write predefined symbolic patterns with their volitional eye movements. For the "eye-writing" recognition, the proposed system first reconstructs the eye-written traces from EOG waveforms in real-time; then, the system recognizes the intended symbolic inputs with a reliable recognition rate by matching the input traces with the trained eye-written traces of diverse input patterns. Experiments with 20 participants showed an average recognition rate of 87.38% (F1 score) for 29 different symbolic patterns (26 lower case alphabet characters and three functional input patterns representing Space, Backspace, and Enter keys), demonstrating the promise of our EOG-based eye-writing recognition system in practical scenarios.
- URI
- https://ieeexplore.ieee.org/document/7434035https://repository.hanyang.ac.kr/handle/20.500.11754/113436
- ISSN
- 1534-4320; 1558-0210
- DOI
- 10.1109/TNSRE.2016.2542524
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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