Details

Autor(en) / Beteiligte

• Bobe, Anatoly
• Konyshev, Dmitry
• Vorotnikov, Sergey
• Ronzhin, Andrey
• Rigoll, Gerhard
• Meshcheryakov, Roman

Titel

Emotion Recognition System for Human-Robot Interface: Comparison of Two Approaches

Ist Teil von

• Interactive Collaborative Robotics, 2017, p.20-28

Ort / Verlag

Cham: Springer International Publishing

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This paper describes a system for automatic emotion recognition developed to enhance the communication capabilities of an anthropomorphic robot. Two versions of the classification algorithm are proposed and compared. The first version is based on a classic approach requiring the action unit estimation as a preliminary step to emotion recognition. The second version takes advantage of convolutional neural networks as a classifier. The designed system is capable of working in real time. The algorithms were implemented on C++ and tested on an extensive face expression database as well as in real conditions.