Keywords: Human Robot Interaction, Human Activity Recognition, Machine Learning, Deep Learning,Unsupervised Learning, Time Series Data Classification, Face Recognition, Chatbot Development
This was my Master Thesis Project at GV Lab, Tokyo University of Agriculture and Technology, Tokyo.
The goal of the research was to build a Personlized Human Robot Interaction system. We used time-series data from Kinect to build an Auto-encoder for Human Activity Recognition. We also made use of Facial Recognition and Chatbot for achieving our goals.
Ubuntu (Linux), Windows 10
Python, C#, Bash
Tensorflow, Scikit-learn, Dialogflow, Choreographe.
Pepper, Kinect, External microphone, Tablet.