Emotions of my kin: disambiguating expressive body movement in minimal groups

2016 ◽  
Vol 4 (1) ◽  
pp. 51-71 ◽  
Author(s):  
Gary Bente ◽  
Daniel Roth ◽  
Thomas Dratsch ◽  
Kai Kaspar
Author(s):  
Toru Nakata ◽  

Method of automatic choreography to generate lifelike body movements is proposed. This method is based on somatic theories that are conventionally used to evaluate human’s psychological and developmental states by analyzing body movement. This paper proposes the use of these theories in the inverse way to facilitate the generation of artificial body movements that are plausible in relation to the regarding evolutionary, developmental and emotional states of robots or other automata. This paper reviews somatic theories and describes a strategy for implementating automatic body movement generation. An additional psychological experiment is also conducted to evaluate expression ability of body movement rhythms.


2011 ◽  
Vol 29 (3) ◽  
pp. 237-254 ◽  
Author(s):  
Haruka Shoda ◽  
Mayumi Adachi

we explored how a pianist manipulates his upper body according to his interpretation of music. We asked a professional pianist to perform artistic, deadpan, and exaggerated renditions of two structurally contrasting pieces. The pianist’s affective interpretations clearly differentiated among the three renditions. The artistic rendition, representing the true nature of the piece, was compared to the contrived deadpan and exaggerated renditions. The pianist’s range of body movement in the artistic rendition differed from the other two for a fast, energetic piece, whereas it only differed from the deadpan for a slow, romantic piece. The pianist highlighted the structural contrasts within the artistic rendition by manipulating his range of body movement and by coordinating the variations between body movement and temporal/dynamical projection of tones.


2014 ◽  
Vol 44 (12) ◽  
pp. 2288-2301 ◽  
Author(s):  
Denis Amelynck ◽  
Pieter-Jan Maes ◽  
Jean Pierre Martens ◽  
Marc Leman

2012 ◽  
Author(s):  
Riitta Keskinen Rosenqvist ◽  
Gabriele Biguet ◽  
Adrienne Levy-Berg
Keyword(s):  

Author(s):  
Sinto Robindo ◽  
Melda Rumia Rosmeri Simorangkir

ABSTRACT All aspects of development are very important in a person's life where the development of cognition, affection and psychomotor is well developed in accordance with its development, these three aspects can be said to be good and successful if the three aspects develop well. Like wise with the psychomotor aspect where between gross motor and fine motor are also balanced. Motoric is the development of coordinated body movement control between nerves, brain, and spinal cord (spinal cord or spinal cord). Child's gross motorization can be optimized by improving his motor movement coordination skills through physical activity in the form of coordination of body movements. Like throwing, catching, kicking, running, melopat, and maintaining balance. The condition of a Down Syndrome child who experiences weakness in the ability to think will affect in all aspects of his life. Down syndrome children have problems in cognitive abilities, effective and self-care abilities. This results in them needing special education. Basically, the educational goals that children with Down Syndrome want to achieve are not different from those of education in general. Because Down Syndrome children themselves are born in the midst of society. Keywords: football sports, gross motoric, down syndrome


2020 ◽  
Vol 2020 (17) ◽  
pp. 2-1-2-6
Author(s):  
Shih-Wei Sun ◽  
Ting-Chen Mou ◽  
Pao-Chi Chang

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.


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