سیستم تشخیص نفوذ متمرکز مبتنی بر تشخیص ترکیبی در شبکه های حسگر بی سیم خوشه بندی
  •   آرشیو : نسخه زمستان 1397
  •   موضوع : هوش مصنوعی
  • نویسنده/گان : میترا نجفی اسفتانی، غلامحسین اکباتانی فرد
  •   کلید واژه : ردیاب‌ چشم، شبکه‌های عصبی کانولوشن، رفتارهای چشم، طراحی محیط بازی.
  •   Title : The method for analysis and designing game environment by the human gaze prediction using convolutional neural networks
  •   Abstract :
    The smart designing of the game environment can affect both game experience and the efficiency of playing the game. Visual design of the game is an important factor to Make an engaging game. In this paper, we study how to attract the audience through targeted design by analyzing the user's visual behaviors. We extract and analyse the visual behaviors in terms of as gaze data using two different techniques. The first method is through the eye-tracking device and the second method through the neural networks. Neural networks are important techniques in Artificial intelligence that have been widely used in the field of image processing. Finally, the results of two techniques are compared and result of the predictor model is evaluated with the eye tracker device. During the empirical research of both of the above factors, it was concluded that not only neural networks are usable in predicting the gaze points, but also their performance's similarity is a fairly acceptable percentage for game designers. We concluded that there is a possibility to use artificial intelligence and neural network models to analyzing users eye behavior in the time of playing games so before the releasing the game there would be a chance to make necessary changes.
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  •  صفحات : 17-24
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