Facial Expressions and Gestures to Convey Emotions with a Humanoid Robot

Author(s):  
Sandra Costa ◽  
Filomena Soares ◽  
Cristina Santos
2013 ◽  
Vol 10 (01) ◽  
pp. 1350013 ◽  
Author(s):  
GABRIELE TROVATO ◽  
MASSIMILIANO ZECCA ◽  
TATSUHIRO KISHI ◽  
NOBUTSUNA ENDO ◽  
KENJI HASHIMOTO ◽  
...  

Communication between humans and robots is a very important aspect in the field of Humanoid Robotics. For a natural interaction, robots capable of nonverbal communication must be developed. However, despite the most recent efforts, robots still can show only limited expression capabilities. The purpose of this work is to create a facial expression generator that can be applied to the 24 DoF head of the humanoid robot KOBIAN-R. In this manuscript, we present a system that based on relevant studies of human communication and facial anatomy can produce thousands of combinations of facial and neck movements. The wide range of expressions covers not only primary emotions, but also complex or blended ones, as well as communication acts that are not strictly categorized as emotions. Results showed that the recognition rate of expressions produced by this system is comparable to the rate of recognition of the most common facial expressions. Context-based recognition, which is especially important in case of more complex communication acts, was also evaluated. Results proved that produced robotic expressions can alter the meaning of a sentence in the same way as human expressions do. We conclude that our system can successfully improve the communication abilities of KOBIAN-R, making it capable of complex interaction in the future.


Author(s):  
A. Loza-Alvarez ◽  
A.E. Monroy-Meza ◽  
R. A. Suarez-Rivera ◽  
G. I. Perez-Soto ◽  
L. A. Morales-Hernandez ◽  
...  

2019 ◽  
Vol 374 (1771) ◽  
pp. 20180026 ◽  
Author(s):  
Hatice Gunes ◽  
Oya Celiktutan ◽  
Evangelos Sariyanidi

Communication with humans is a multi-faceted phenomenon where the emotions, personality and non-verbal behaviours, as well as the verbal behaviours, play a significant role, and human–robot interaction (HRI) technologies should respect this complexity to achieve efficient and seamless communication. In this paper, we describe the design and execution of five public demonstrations made with two HRI systems that aimed at automatically sensing and analysing human participants’ non-verbal behaviour and predicting their facial action units, facial expressions and personality in real time while they interacted with a small humanoid robot. We describe an overview of the challenges faced together with the lessons learned from those demonstrations in order to better inform the science and engineering fields to design and build better robots with more purposeful interaction capabilities. This article is part of the theme issue ‘From social brains to social robots: applying neurocognitive insights to human–robot interaction’.


Author(s):  
Gabriele Trovato ◽  
Tatsuhiro Kishi ◽  
Nobutsuna Endo ◽  
Kenji Hashimoto ◽  
Atsuo Takanishi

2020 ◽  
Vol 39 (5) ◽  
pp. 6507-6515
Author(s):  
Cengiz Kahraman ◽  
Eda Boltürk ◽  
Sezi Cevik Onar ◽  
Basar Oztaysi

Pythagorean fuzzy sets (PFS) are an extension of intuitionistic fuzzy sets introduced by Atanassov [1]. PFSs have the advantage of providing larger domains for assigning membership and non-membership degrees satisfying that their squared sum is at most equal to one. PFS have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. Different human emotions and behaviors can be modeled in humanoid robots (HR) by fuzzy sets. In this paper, facial expressions of a humanoid robot are modeled depending on the degrees of the emotions. Larger degree of emotion causes a stronger indicator of the facial mimic.


2013 ◽  
Vol 645 ◽  
pp. 239-242
Author(s):  
Yu Zhang ◽  
Xiao Jiao Wang

By analyzing the motion of eyes, eyebrows, mouth, and lower jaw in typical facial expressions, it obtains the motion scopes of each organ. Base on the humanoid head mechanism design, a robot model is created with existing software, which blends head mechanism model and facial elastomeric model. It simulates four typical facial expressions of the humanoid robot (happiness, sadness, surprise, anger) by using finite element method to analysis and simulation; and discuses under different displacement load, the degree of realizing facial expressions. It provided data for humanoid robot to be farther designed and developed.


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