Doing Fandom, lessons from football in gender, emotion, space

2021 ◽  
pp. 1-2
Author(s):  
Amir Ben Porat
Keyword(s):  
Emotion Space

Design of Emotion Expressing Behavior Based on LMA for Aerial Robot

2014 ◽  
Vol 494-495 ◽  
pp. 1170-1174
Author(s):  
Qing Ji Gao ◽  
Meng Li ◽  
Dan Dan Hu ◽  
Wei Hao
Keyword(s):  
Movement Analysis ◽  
Humanoid Robots ◽  
Body Language ◽  
Laban Movement Analysis ◽  
Model Based ◽  
Express Emotion ◽  
Aerial Robot ◽  
Behavior Based ◽  
Movement Parameters ◽  
Emotion Space

The non-humanoid robots can express emotion by imitating the humans body language with different paths. The movement parameters effecting the Laban Effort Factors can be got by parameterizing the trajectory with using Laban Movement Analysis (LMA) Theory. Then, the emotion expressing model based on the trajectory of aerial robot is established by mapping the Effort Factors to the PAD emotion space. The simulation demonstrates the validity of the model.

Emotion Space under Conditions of Perceptual Ambiguity

1999 ◽  
Vol 88 (3_suppl) ◽  
pp. 1379-1383 ◽  
Author(s):  
Tokihiro Ogawa ◽  
Takuma Takehara ◽  
Rie Monchi ◽  
Yoshikazu Fukui ◽  
Naoto Suzuki
Keyword(s):  
Emotion Space

Bloch Sphere-Based Representation for Quantum Emotion Space

2015 ◽  
Vol 19 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Fei Yan ◽  
◽  
Abdullah M. Iliyasu ◽  
Zhen-Tao Liu ◽  
Ahmed S. Salama ◽  
...  
Keyword(s):  
Transition Matrix ◽  
Experimental Validation ◽  
Transmission Model ◽  
Quantum Gates ◽  
Bloch Sphere ◽  
Emotional Change ◽  
Basic Color ◽  
Human Emotions ◽  
Emotion Space

A Bloch Sphere-based Emotion Space (BSES), where two angles φ and θ in the Bloch sphere represent the emotion (such as happiness, surprise, anger, sadness, expectation, or relaxation in [0, 2π)) and its intensity (from neutral to maximum in [0, π]), respectively, is proposed. It exploits the psychological interpretation of color to assign a basic color to each emotion subspace such that the BSES can be visualized, and by using quantum gates, changes in emotions can be tracked and recovered. In an experimental validation, two typical human emotions, happiness and sadness, are analyzed and visualized using the BSES according to a preset emotional transmission model. A transition matrix that tracks emotional change can be used to control robots allowing them to adapt and respond to human emotions.

Affective Facial Expressions Using Auto-Associative Neural Network in Kansei Robot ‘‘Ifbot’’

2010 ◽  
pp. 215-236 ◽  
Author(s):  
Masayoshi Kanoh ◽  
Tsuyoshi Nakamura ◽  
Shohei Kato ◽  
Hidenori Itoh
Keyword(s):  
Neural Network ◽  
Facial Expressions ◽  
The Face ◽  
Emotion Space ◽  
Auto Associative Neural Network ◽  
Affective Expressions

The authors propose three methods of enabling a Kansei robot, Ifbot, to convey affective expressions using an emotion space composed of an auto-associative neural network. First, the authors attempt to extract the characteristics of Ifbot‘s facial expressions by mapping them to its emotion space using an auto-associative neural network, and create its emotion regions. They then propose a method for generating affective facial expressions using these emotion regions. The authors also propose an emotion-transition method using a path that minimizes the amount of change in an emotion space. Finally, they propose a method for creating personality using the face.

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