Abstract
Electric signals are generated by the movement of eyes that can be utilized for communication with humans or environment with the use of generated signals. Such electric signals are measured by Electrooculogram (EOG) for human computer interface (HCI). Electrooculograms have been found to have vast applications in the field of medical in ophthalmological diagnosis, eye movements, robotic devices using vision etc. and other advanced HCI applications like virtual systems. Basic features of EOGs are utilized in research areas of signal processing, recognitions like pattern recognition, iris recognition, object recognition etc. EOGs are considered as an important source of information as well as communication between real and the virtual world and is considered as a reliable tool for human computer interface. The systems using electrooculography as a communication tool between real and virtual worlds is a simple yet robust system in terms of performance. The paper discusses about the use of Electrooculograms with Human computer interface and its applications.
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Goswami, L. (2022). Human Computer Interface Using Electrooculogram as a Substitute. In: García Márquez, F.P. (eds) International Conference on Intelligent Emerging Methods of Artificial Intelligence & Cloud Computing. IEMAICLOUD 2021. Smart Innovation, Systems and Technologies, vol 273. Springer, Cham. https://doi.org/10.1007/978-3-030-92905-3_21
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DOI: https://doi.org/10.1007/978-3-030-92905-3_21
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