Abstract
The present age is the age of technology. People are increasingly using technology in their daily activities. That is why when we go to consider people’s attention to something, our head detection comes first. Detecting the head is not the only thing that ends here; the thing that is directly related to it is the eyeball movement. For example, when a student is studying, the level of attention means his concentration deeply. And the depth of this attention depends not only on the head movement but also on how many times his eyes are moving from left to right or from right to left. Because it is seen that looking at the same object at a glance does not mean that he is not paying attention, maybe he is thinking of something else or is immersed in another thought. And by using this motivation, eyeball and head movements play a vital role in the study. The system’s goal is to read the video frames and determine the number of eyeballs and head movements in real time. Eyeball and head movements from left to right and right to left are counted per minute. After one minute, the previous data will be refreshed, and new data will be recorded for the next minute. Thus, the system will give us the result of each minute movement numbers, and very nicely, our system can detect eyeballs and head movements in case of reading.
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Sayeed, S., Sultana, F., Chakraborty, P., Yousuf, M.A. (2021). Assessment of Eyeball Movement and Head Movement Detection Based on Reading. In: Bhattacharyya, S., Mršić, L., Brkljačić, M., Kureethara, J.V., Koeppen, M. (eds) Recent Trends in Signal and Image Processing. ISSIP 2020. Advances in Intelligent Systems and Computing, vol 1333. Springer, Singapore. https://doi.org/10.1007/978-981-33-6966-5_10
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DOI: https://doi.org/10.1007/978-981-33-6966-5_10
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