Face expression recognition
KD Fiza
, K Devika , K Satya , K EVANJALLI , Ester sunanda
Facial Expression Recognition (FER), OpenCV, Pandas
Facial Expressions are considered as one of the channels that convey human emotions. The task of emotion recognition often involves the analysis of human expressions in multi-modal forms such as images, text, audio or video. Different emotion types are identified through the integration of features from facial expressions. This information contains particular feature points that are used to analyze expressions or emotions of the person. These feature points are extracted using image processing techniques. These Human facial expressions convey a lot of information visually rather than articulately. Facial expression recognition plays a crucial role in the area of human-machine interaction. Automatic facial expression recognition system has many applications including, but not limited to, human behavior understanding, detection of mental disorders, and synthetic human expressions. Recognition of facial expression by computer with high recognition rate is still a challenging task.
"Face expression recognition", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a739-a750, March-2023, Available :https://ijnrd.org/papers/IJNRD2303076.pdf
Volume 8
Issue 3,
March-2023
Pages : a739-a750
Paper Reg. ID: IJNRD_188319
Published Paper Id: IJNRD2303076
Downloads: 000118852
Research Area: Computer Science & Technology
Country: Vizag, Andhra Pradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
