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Writing Samples
Band 5.5

3D GAZE ESTIMATION IN INCONSISTENT CONDITIONS FROM LOW-RESOLUTION IMAGES FOR DESKTOP AND MOBILE DEVICES

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The
use
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 of 3D
gaze
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estimation
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technology
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 in inconsistent
conditions
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 and from
low-resolution
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images
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 is a growing field of
research
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, with applications in both desktop and mobile devices.
Gaze
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estimation
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technology
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 allows for the tracking of a person's eye movements, and can be used in a variety of fields,
such
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 as human-computer interaction and market
research
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.
However
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, the accuracy of
gaze
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estimation
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 can be affected by inconsistent
conditions
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,
such
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 as changes in lighting or
head
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 position,
as well as
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 by the resolution of the image being analyzed. Recent advancements in 3D
gaze
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estimation
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technology
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 have made it possible to track
gaze
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 even in inconsistent
conditions
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 and from
low-resolution
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images
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. One approach is to
use
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 machine learning algorithms to analyze the image and make predictions about the user's
gaze
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. These algorithms can take into account factors
such
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 as
head
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 pose and lighting
conditions
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,
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apply
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 and can be trained on large datasets to improve their accuracy. Another approach is to
use
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 depth sensors,
such
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 as stereo cameras or infrared cameras, to capture 3D information about the user's eyes and
head
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.
This
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 information can be used to compensate for changes in lighting and
head
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 position, and can
also
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 be used to improve the resolution of the image. The
use
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 of 3D
gaze
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estimation
Use synonyms
technology
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 in inconsistent
conditions
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 and from
low-resolution
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images
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 has the potential to greatly improve the usability of
gaze
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-controlled devices, both on desktop computers and
on
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apply
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mobile devices.
This
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technology
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 can be used to create more natural and intuitive interfaces, and can
also
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 be used to gather valuable data in fields
such
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 as market
research
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.
However
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,
this
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technology
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 still has a long way to go and it is important to note that there are challenges to overcome
such
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 as data privacy, security, and ethical considerations.
Overall
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, the
use
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 of 3D
gaze
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estimation
Use synonyms
technology
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 in inconsistent
conditions
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 and from
low-resolution
Use synonyms
images
Use synonyms
 is a promising field of
research
Use synonyms
 with many potential applications.

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To get an excellent score in the IELTS Task 2 writing section, one of the easiest and most effective tips is structuring your writing in the most solid format. A great argument essay structure may be divided to four paragraphs, in which comprises of four sentences (excluding the conclusion paragraph, which comprises of three sentences).

For we to consider an essay structure a great one, it should be looking like this:

  • Paragraph 1 - Introduction
    • Sentence 1 - Background statement
    • Sentence 2 - Detailed background statement
    • Sentence 3 - Thesis
    • Sentence 4 - Outline sentence
  • Paragraph 2 - First supporting paragraph
    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
  • Paragraph 3 - Second supporting paragraph
    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
  • Paragraph 4 - Conclusion
    • Sentence 1 - Summary
    • Sentence 2 - Restatement of thesis
    • Sentence 3 - Prediction or recommendation

Our recommended essay structure above comprises of fifteen (15) sentences, which will make your essay approximately 250 to 275 words.

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