International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 04 | Apr -2017
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p-ISSN: 2395-0072
Emotion Recognition Based on Efficient Self Organized Map Harshada Sonkamble1 Prof. Ujwala.V. Gaikwad2 Terna Engineering College, Nerul ------------------------------------------------------------------------------------------------------------------------------------------emotions
Abstract- The face being the primary focus of
in
order
to
enhance
productivity
and
effectiveness of working with computers.
attention in social interaction plays a major role in
Nowadays,
Emotion
recognition
is
well
conveying identity and emotion. The emotion recognition
recognized desired features of Intelligent Tutoring
system is a computer application for automatically
Systems, with primary focus on such learner dullness,
identifying a person and its emotion from digital images or
frustration. An emotion recognition system also used for
video frame from a video source.
driver stress testing and psychological diseases [1].
The
proposed
automatic
facial
expression
The human-computer interaction (HCI) will be
recognition system can detect human face, extract facial
much more effective if a computer is able to recognize the
features, and recognize facial emotions. The inputs to the
emotion of the human, which can say about the mood of
proposed system are a sequence of images, still images or
the person. The objective of automatic facial emotion
webcam images. An input of modified self-organizing map
recognition system is to take human facial images
(SOM) is a facial geometric feature including eye, lip and
containing some expression as input and recognize and
eyebrow feature points.
classify it into appropriate expression classes such as
This system is very efficient in recognizing six basic emotions.
angry, disgust, fear, happy, sad, and surprise. Automatic facial emotion recognition systems
Keywords— facial Expression, geometric facial feature, feature
extraction,
self-organized
map,
have been used in applications like human robot
Emotion
interactions, human-computer interactions, virtual reality,
Recognition.
etc. In this human facial expressions play an important role. Six basic expressions are happiness, sadness,
1. INTRODUCTION
surprise; fear, anger, and disgust have been considered by Ekman [2].
The human face plays an important role in verbal and
non-verbal
communication.
verbal
The automatic facial expression recognition
communication, the face is involved in speech and as far as
problem is a very challenging problem because it involves
non-verbal
in three sub-problems:
communication
is
Regarding
concerned,
the
face
1.1 Face Detection
communicates through expression of emotions and gestures such as nods and winks. Affective computing is a
Face Detection is the process of locating and
domain that focuses on user emotions while interacting
extracting the face region from the images. It involves
with computers and applications. The mind of a person
segmentation, extraction, and verification of faces. It
may influence concentration, skills of decision making,
follows two different approaches: Face detection from still
and solving the different tasks. Affective computing vision
images and Face detection from images acquired from a
is to make systems able to recognize and influence human
video.
Š 2017, IRJET
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