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Solution to the real time face emotion detection problem

Solution to the real time face emotion detection problem okJ5X
Today, the majority of our time is spent interacting with computers and mobile phones in our daily life due to technology progression and ubiquitously spreading of these mediums. However, they play an essential role in our lives, and most existing software interfaces are non-verbal. Adding emotional expression recognition to expect the users’ feelings and emotional state can effectively improve human-computer interaction. Humans usually employ different cues to express their emotions, such as facial expressions, hand gestures and voice. Facial expressions represent up to 55% of human communications while other ways such as oral language allocate a mere 7% of emotion expression. Therefore, considering facial expressions in an HRI(Human robotic interactions system successfully enables simulation of natural interactions. It has many more advantages than we can imagine. It can be used in education, research, medicine, manufacturing, investigation and many other fields. If the people use this in the right way, it can give us many good results. Note: This app was created to use in the education field to detect the emotions of the students. It will enable proper understanding and improvement in teaching the students if we use it with a camera that keeps an eye on students emotions. Thank you. I hope you got emotions detected in an image or a video or live detection.
Today
, the majority of our time
is spent
interacting with computers and mobile phones in our daily life due to technology progression and
ubiquitously
spreading of these mediums.
However
, they play an essential role in our
lives
, and most existing software interfaces are non-verbal. Adding emotional
expression
recognition to
expect
the users’ feelings and emotional state can
effectively
improve
human-computer interaction. Humans
usually
employ
different
cues to express their
emotions
, such as facial
expressions
, hand gestures and voice. Facial
expressions
represent up to 55% of human communications while other ways such as oral language allocate a mere 7% of
emotion
expression
.
Therefore
, considering facial
expressions
in an HRI
(
Human robotic
interactions
system
successfully
enables simulation of natural interactions. It has
many
more advantages than we can imagine. It can be
used
in education, research, medicine, manufacturing, investigation and
many
other fields. If the
people
use
this in the right way, it can give us
many
good
results.

Note: This app
was created
to
use
in the education field to detect the
emotions
of the students. It will enable proper understanding and improvement in teaching the students if we
use
it with a camera that
keeps
an eye on students emotions.

Thank you. I hope you
got
emotions
detected in an image or a video or
live
detection.
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IELTS essay Solution to the real time face emotion detection problem

Essay
  American English
3 paragraphs
216 words
This writing has been penalized,
text can't be
less than 250 words in Task 2
and less than 150 words in Task 1
5.0
Overall Band Score
Coherence and Cohesion: 5.5
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    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • Vary your linking phrases using synonyms
Lexical Resource: 5.5
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.5
  • Answer all parts of the question
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    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
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