Facial interaction between animated 3D face robot and human beings

Author(s):  
H. Kobayashi ◽  
F. Hara
Keyword(s):  
3D Face ◽  
2013 ◽  
Vol 461 ◽  
pp. 838-847
Author(s):  
Xu Zhang ◽  
Shu Jun Zhang ◽  
Kevin Hapeshi

To represent various human facial expressions is an essential requirement for emotional bio-robots. The human expressions can convey certain emotions for communications of human beings with some muscles positions and their movements. To design and develop emotional robots, it is necessary to build a generic 3D human face model. While the geometrical features of human faces are freeform surfaces with complex properties, it is the fundamental requirement for the model to have the ability of representing both primitive and freeform surfaces. This requirement makes the Non-rational Uniform B-Spline (NURBS) are suitable for 3D human face modelling. In this paper, a new parameterised feature based generic 3D human face model is proposed and implemented. Based on observation of human face anatomy, the authors define thirty-four NURBS curve features and twenty-one NURBS surface features to represent the human facial components, such as eyebrows, eyes, nose and mouth etc. These curve models and surface models can be used to simulate different facial expressions by manipulating the control points of those NURBS features. Unlike the existing individual based face modelling methods, this parameterised 3D face model also gives users the ability to use the model imitate any face appearances. In addition the potential applications of the new proposed 3D face model are also discussed. Besides emotional bio-robots, it is believed that the proposed model can also be applied in other fields such as aesthetic plastic surgery simulation, film and computer game characters creation, and criminal investigation and prevention.


2001 ◽  
Vol 13 (5) ◽  
pp. 497-504 ◽  
Author(s):  
Hiroshi Kobayashi ◽  

The objective of this study is to investigate the intelligence necessary for machines such as a humanfriendly robot working in the environment where human and robot coexist. It seems to be required to manufacture the human-friendly robot that can communicate with human beings as a test bed and/or platform. Since face and facial expressions are very crucial factors for communication, we have been developing a face robot, which has a human-like face and can express facial expressions as similar as human being. The important factors of face robot for coexistence and communication with humans are 1. human size and compact, and 2. easy to control. While we have used air cylinders with pressurized air for the old face robot, to accomplish these two factors, we have decided to use a SMA (shaped memory alloy) actuators driven by electricity. In this paper, we present the prototype of SMA-actuated new face robot and show the basic ability.


1954 ◽  
Vol 27 (5) ◽  
pp. 565-577 ◽  
Author(s):  
John F. Scholer ◽  
Charles F. Code

1949 ◽  
Vol 12 (6) ◽  
pp. 970-977 ◽  
Author(s):  
John M. McMahon ◽  
Charles F. Code ◽  
Willtam G. Saver ◽  
J. Arnold Bargen
Keyword(s):  

Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.


2015 ◽  
Vol 223 (3) ◽  
pp. 151-156 ◽  
Author(s):  
Nina Schweinfurth ◽  
Undine E. Lang

Abstract. In the development of new psychiatric drugs and the exploration of their efficacy, behavioral testing in mice has always shown to be an inevitable procedure. By studying the behavior of mice, diverse pathophysiological processes leading to depression, anxiety, and sickness behavior have been revealed. Moreover, laboratory research in animals increased at least the knowledge about the involvement of a multitude of genes in anxiety and depression. However, multiple new possibilities to study human behavior have been developed recently and improved and enable a direct acquisition of human epigenetic, imaging, and neurotransmission data on psychiatric pathologies. In human beings, the high influence of environmental and resilience factors gained scientific importance during the last years as the search for key genes in the development of affective and anxiety disorders has not been successful. However, environmental influences in human beings themselves might be better understood and controllable than in mice, where environmental influences might be as complex and subtle. The increasing possibilities in clinical research and the knowledge about the complexity of environmental influences and interferences in animal trials, which had been underestimated yet, question more and more to what extent findings from laboratory animal research translate to human conditions. However, new developments in behavioral testing of mice involve the animals’ welfare and show that housing conditions of laboratory mice can be markedly improved without affecting the standardization of results.


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