Exploring Eye Expressions for Enhancing EOG-Based Interaction
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42293-5_6
Reference25 articles.
1. Alam, M.M., Raihan, M.M.S., Chowdhury, M.R., Shams, A.B.: High precision eye tracking based on electrooculography (EOG) signal using artificial neural network (ANN) for smart technology application. In: 2021 24th International Conference on Computer and Information Technology (ICCIT) (2021). https://doi.org/10.1109/ICCIT54785.2021.9689821
2. Barbara, N., Camilleri, T.A., Camilleri, K.P.: EOG-based eye movement detection and gaze estimation for an asynchronous virtual keyboard. Biomed. Signal Process. Control 47, 159–167 (2019). https://doi.org/10.1016/j.bspc.2018.07.005
3. Belkhiria, C., Boudir, A., Hurter, C., Peysakhovich, V.: EOG-based human-computer interface: 2000–2020 review. Sensors 22(13) (2022). https://doi.org/10.3390/s22134914
4. Bhuyain, M.F., Kabir Shawon, M.A.U., Sakib, N., Faruk, T., Islam, M.K., Salim, K.M.: Design and development of an EOG-based system to control electric wheelchair for people suffering from quadriplegia or quadriparesis. In: International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (2019). https://doi.org/10.1109/ICREST.2019.8644378
5. Bulling, A., Roggen, D., Tröster, G.: It’s in your eyes: towards context-awareness and mobile HCI using wearable EOG goggles. In: Proceedings of the 10th International Conference on Ubiquitous Computing (2008). https://doi.org/10.1145/1409635.1409647
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