Facial recognition technology has many applications such as providing alerts in driving, enabling feedback systems for e-learning, and aiding in medical practices and psychological research. It works by detecting emotion signatures - unique patterns in facial action units like eyebrows, eyes, nose and lips that indicate specific emotions. Consumers are demanding more interactive systems, and facial recognition meets this need by allowing analysis of real-time facial expressions to provide feedback. The budget for developing such a system would be approximately $50,000.

2. • Humans look for
emotion ‘Signatures’
rather than entire face to
sense a particular
emotion
• Every emotion has a
unique signature which
is represented by Facial
Action Units(Eyebrows,
Eyes, Nose, Lips).
• Orientation and shape
of these Facial Action
units is sufficient to
determine the emotion

4.  In the current market scenario, facial emotion recognition system
has very vast and wide applications.
 . This intelligent system can be used in below applications:
 Alert system for driving.
 Social Robot emotion recognition system.
 Medical Practices.
 Feedback system for e-learning.
 The interactive TV applications enable the customer to actively
give feedback on TV Program.

5.  Mental state identification.
 Automatic counseling system.
 Face expression synthesis.
 Music as per mood.
 In research related to psychology.
 In understanding human behavior.

6.  End user in the technological era demands an intelligent system to
satisfy their needs and increase the overall efficiency of the tasks.
Facial recognition allows the users to record and analyze the facial
expressions and use them in various applications.
 It creates a need in the market for the customers who needs any
interactive system to give them Real-time feedback for their product
or services.

7.  Facial recognition also satisfies the needs of the customers to read
and observe human behavior to analyze the mental health and
human behavior.

8.  Facial expression presents key mechanism to describe human
emotion.
 Humans are filled with various emotions, modern psychology defines
six basic facial expressions: Happiness, Sadness, Surprise, Fear,
Disgust, and Anger as universal emotions.
 For ex:- Anger
Eyebrows pulled down, Open eye, teeth shut and lips tightened, upper
and lower lids pulled up

9.  Consumer neuroscience and neuro marketing
 Tracking facial expressions can be leveraged to substantially
enrich self-reports with quantified measures of more unconscious
emotional responses towards a product or service.
 Based on facial expression analysis, products can be optimized,
market segments can be assessed, and target audiences and
personas can be identified.

10.  Media testing & advertisement
 In media research, individual respondents or focus groups can be
exposed to TV advertisements, trailers, and fulllength pilots while
monitoring their facial expressions.
 Medical applications & plastic surgery
 The effects of facial nerve paralysis can be devastating. Causes
include Bell’s Palsy, tumors, trauma, diseases, and infections.
Patients generally struggle with significant changes in their
physical appearance, the ability to communicate, and to express
emotions. Facial expression analysis can be used to quantify the
deterioration and evaluate the success of surgical interventions,
occupational and physical therapy targeted towards reactivating
the paralyzed muscle groups.

11.  And many more:-
 Psychological research
 Clinical psychology and psychotherapy
 Software UI & website design
 Engineering of artificial social agents (avatars)

14.  Budget for this project will be around 50k as this software will run
on a machine.
 Manufacturing cost for this software will be zero as it is a computer
program but running of this software will include webcam enabled
computer with high processing speed.