Merge pull request #28 from enricobu96/feature/last-refactor

finished

README.md

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-# vcs-project
+# Smart Assistant Interaction through Visual Gesture Recognition using a Kinect Sensor
+
 Project for Vision and Cognitive Services course @ UniPD
+Master's Course in Computer Science, A.Y. 2020-2021.
+
+## Disclaimer
+
+This repo is distributed under GPLv3 license, and this means that you can use and modify the code as you prefer; nevertheless, we don't assume any kind of responsibility on the use you will do of it, you're responsible for yourself and yourself only.
+
+## Abstract
+
+In the last decade, the raise of smart assistant devices played a key role for the everyday life as they help to retrieve information from the web, manage other home devices and execute routines independently. 
+Even though the vocal interaction is getting more and more efficient, not always the commands are interpreted correctly.
+Moreover, looking at deaf people and/or people with speech disabilities, the effective interaction is drastically reduced, thus limiting the use of this kind of devices.
+The main goal of this project is to use the visible body parts of a person to interact with smart devices like Google Home through human pose estimation and gesture recognition.
+During our work we compared two different solutions – Google MediaPipe and NiTE2 middleware for Kinect –, and for both of these use-cases we tried different classification algorithms: multinomial logistic regression, ridge regression, random forest, support vector machines and multilayer perceptron.
+Through intensive trial and error experiments we were able to get F1-scores in a range between 0.71 and 0.97 for the different use-cases and classification algorithms, with an average accuracy never below 0.70.
 
 ## Installation