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.