Real Time Facial Emotion Recognition using Kinect V2 Sensor
The emotional facial expression is an important element in human communication, along with other forms of non-verbal communication, such as gestures and postures. We performed emotion recognition from facial expressions by using Microsoft Kinect for Windows sensor V2 and the face tracking SDK to recognize eight different facial expressions and then determining which part of the brain is most active at the moment. The implementation of our emotion recognition application was made with Visual Studio 2013 (C++) and MATLAB 2014 . You can get complete code from us after checking it on Skype.
Having more than 6 years of experience in machine learning, image processing and computer vision I believe that I can do any task related to ML. I have used almost all algorithms for ML like pca, lbp, lpq, hog, surf, sift etc for features extraction, KNN, decision trees, naïve bayes, random forests, svm, Neural Networks, K-means for classification, clustering and predictive models. I have worked on different Python libraries and frameworks like Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup etc I have used AWS for deploying different algorithms over web and used Flask for making rest Apis. I have also worked on many internet of things related projects in which I integrated machine learning models with iot. I have used node.js and Mqqt for iot related projects. I can make web, desktop and mobile applications related to these fields. Do you need to discuss my previous projects? Just ping me! Just inbox your requirements and consider your work done!!