Human-like facial expression imitation for humanoid robot based on recurrent neural network

Zhong, Huihuang; Ren, Fuji; Bao, Yanwei

doi:10.1109/icarm.2016.7606937

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…In addition, muscles in other locations of the face should also be considered in these studies to create realistic expressions for the robot. In their earlier research [102], Huang et al described a more sophisticated control strategy that models both forward and backward transmissions, the next state was calculated based on the previous value. Te recurrent neural network (RNN) model was trained from the available data to predict the next value.…”

Section: Humanoid Robot With Emotional Expressionmentioning

confidence: 99%

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

Trieu

Thinh

2023

Journal of Robotics

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The development of robotics is undeniable in recent years. Many developing contries face the growth of the elderly population, it is the premise and impetus for the development of research on humanoid robots to serve humans. Many studies on various aspects of robotics are carried out in different parts of the world. Many novel methods were introduced for the design of the robot’s external appearance, internal mechanisms, and gestures. Recent research on humanoid robots is designed to appear to be copies of the anthropometric indicators of real people, which may affect the security of other people’s identities. Besides, these robots cause a feeling of horror in the user if their appearance is in the position of the uncanny valley. Therefore, these designs need to be carefully considered before fabrication. Artificial skin is studied for various purposes such as ensuring collision safety for industrial users and helping robots to perceive basic tactile sensations. This review consists of the recent literature on the interaction of appearance and behavior of robot interaction, artificial skin, and especially humanoid robots, including appearance, such as android and Geminoid robots. This work can provide a reference for humanoid robot research, including uncanny valley hypotheses, artificial skin, and humanoid robots.

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Section: Humanoid Robot With Emotional Expressionmentioning

confidence: 99%

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

Trieu

Thinh

2023

Journal of Robotics

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“…Hashimoto developed a facial expression generation system capable of imitating human muscle structures based on the EMG signals used for facial expressions [31]. Furthermore, Huang et al created an RNN-based forward kinematics model by measuring facial geometric deformation features from human facial expression sequence data and then generated facial expressions by producing an IK solver and applying it to an android [32].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Android Facial Expressions Using Genetic Algorithms

et al. 2019

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Because the internal structure, degree of freedom, skin control position and range of the android face are different, it is very difficult to generate facial expressions by applying existing facial expression generation methods. In addition, facial expressions differ among robots because they are designed subjectively. To address these problems, we developed a system that can automatically generate robot facial expressions by combining an android, a recognizer capable of classifying facial expressions and a genetic algorithm. We have developed two types (older men and young women) of android face robots that can simulate human skin movements. We selected 16 control positions to generate the facial expressions of these robots. The expressions were generated by combining the displacements of 16 motors. A chromosome comprising 16 genes (motor displacements) was generated by applying real-coded genetic algorithms; subsequently, it was used to generate robot facial expressions. To determine the fitness of the generated facial expressions, expression intensity was evaluated through a facial expression recognizer. The proposed system was used to generate six facial expressions (angry, disgust, fear, happy, sad, surprised); the results confirmed that they were more appropriate than manually generated facial expressions.

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Towards automatic visual fault detection in highly expressive human-like animatronic faces with soft skin

Mayet

Diprose

Pandey

2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Human-like facial expression imitation for humanoid robot based on recurrent neural network

Cited by 4 publications

References 18 publications

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

A Comprehensive Review: Interaction of Appearance and Behavior, Artificial Skin, and Humanoid Robot

Optimizing Android Facial Expressions Using Genetic Algorithms

Towards automatic visual fault detection in highly expressive human-like animatronic faces with soft skin

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