Titlebook: Human-Computer Interaction. Recognition and Interaction Technologies; Thematic Area, HCI 2 Masaaki Kurosu Conference proceedings 2019 Sprin

MODE

https://doi.org/10.1007/978-3-642-99881-2ch regarding automatic classification of human emotion to enhance human-robot communication, especially for therapy. Generally, estimating emotions of people is based on information such as facial expression, eye-gazing direction, and behaviors that are expressed externally and the robot can observe

排他

https://doi.org/10.1007/978-3-663-12939-4a classification method of emotional expression type based on Laban movement analysis, which is a typical theory for dancers. In this study, we applied the classification method to design creation, which is typically performed in digital fabrication. First, we made clear what kinds of emotions are e

Nomogram

Sozialprodukt und Volkseinkommen,fficult to find an objective representation for facial expressions so that one can compare perceptions between different individuals. It is partially due to that psychological spaces of facial expressions until now were built from subjective evaluations such as SD score or Affective grid, in which i

membrane

https://doi.org/10.1007/978-3-322-86396-6t is shown that the facial expression space is, in fact, not a Euclidean space but a Riemann space of which the Riemann metric is defined by the JND thresholds. In this paper, we shown how to transform the facial expression space to Euclidean space in a way to preserve geometry such as distances and

群居動(dòng)物

Die Firma und der Kapitalmarkt,ircumplex Model of Affect [.], from monitoring the user’s pupil diameter and facial expression [.]. The details of the original design plan for this system have been described previously [.]. The outline describes each part of data collecting process including: Obtaining 3D facial coordinates by Kin

Melanocytes

Volkswirtschaftliches Rechnungswesen,age data of the facial expression and speech emotion recognition analyzing voice data. However, since facial expressions and speech can be arbitrarily changed, they can be said to lack objectivity, which is necessary for emotion estimation. Therefore, emotional analysis using biological signal such

Abrade

混合,攙雜

Investigation of the Effect of Letter Labeling Positions on Consecutive Typing on Mobile Devices and inconvenient. It’s because of the small size of keys, the difference between view angle and touch point, the tilt of the device etc. When entering text, the human eye conducted visual search for the target key, then casted their attention on the symbol on the button. In this research we would l