@proceedings {103, title = {Recognition and Expression of Emotions by a Symbiotic Android Head}, journal = {International Conference on Humanoid Robots IEEE-RAS 2014}, volume = {In press}, year = {2014}, month = {11/2014}, author = {Mazzei, Daniele and Zaraki, Abolfazl and Lazzeri, Nicole and De Rossi, Danilo} } @proceedings {102, title = {An RGB-D based social behavior interpretation system for a humanoid social robot}, journal = {Robotics and Mechatronics (ICRoM), 2014 Second RSI/ISM International Conference on }, year = {2014}, month = {Oct/2014}, pages = {185-190}, abstract = {
Humanoid social robots that interact with people need to be capable of interpreting the social behavior of their interaction partners in order to respond in a socially appropriate way. In this paper, we present a social behavior interpretation system that enables a humanoid robot to recognize human social behavior by analyzing communicative signals. The system receives the constructed RGB-D scene from a Kinect sensor, extracts information about body gesture and head pose from the scene using Microsoft Kinect SDK, and recognizes eight human social behaviors using a Hidden Markov Model (HMM). We trained the eight-state HMM with a corpus of 35 recorded human-human interaction scenes. The evaluation of the system shows a weighted average recognition rate of 81\% for all states.

}, doi = {10.1109/ICRoM.2014.6990898}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6990898\&isnumber=6990766}, author = {Zaraki, Abolfazl and Giuliani, M and Dehkordi, MaryamBanitalebi and D{\textquoteright}ursi, A. and De Rossi, Danilo} }