The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.

An Android application performing recognition of facial emotions on an image

Emotions recognition android app based on OpenCV, dlib, Weka and Tensorflow

An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.

A mood-based music player is created which performs real time mood detection and suggests songs as per the detected mood. This becomes an additional feature to the traditional music player apps that come pre-installed in our mobile phones. An important benefit of incorporating mood detection is customer satisfaction. The objective of this system…

The purpose of this Android application is to serve as part of a system of 3 apps that collect information about visits to the house. This app, in particular, is for the patient's caretaker who can view events that the system logs, approve or decline accounts of new visitors, track the patient if they get lost, and analyze their emotions.

Code of the paper "Emotion Recognition on Edge Devices: Training and Deployment " by Pandelea et al.

Source code for AffdexMe for Android

From physiological signals to emotions through a smart wristband. In this project a program is developed for the creation of the dataset used in human experiments based on eliciting emotions by visualizing images and capturing the signals through the wristband.

Bachelor degree project

PPG센서를 이용한 "심장으로 쓰는 감성일기"

Emotion Recognition Android App