期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：1
页码：255
DOI：10.15680/IJIRCCE.2017.0601042
出版社：S&S Publications
摘要：The goal of this paper is to build a mood detect system which can analyze basic facial expression ofhuman. In this project a method is presented for mood detection based on humans face emotions. The proposed methodused the humans face to identify the mood of that human and finally using this result play the audio file which relatedto human’s mood. Firstly system takes the human face as input then the further process will going on. That is we usehere Principle Component Analysis Algorithm (PCA) to recognize the human face. This algorithm helps to recognizethe human’s mood using feature of face image. Through the feature detection of lip, mouth, and eyes, eyebrow, thosefeature points are found. If the input face wills matches exactly to the emotions base dataset face then we can identifythe humans exact mood to play the mood related audio file. Recognition under different environmental conditions canbe achieved by training on limited number of characteristics faces. The proposed approach is simple, efficient, andaccurate. This system gives accurate result as compare to existing approach. System play’s very important role inrecognition and detection related field. That is this gives important result very quickly as compare to traditionalmethods.
