Entropy as a global variable of the learning process

Cordier, Patrick; Pailhous, Jean; Bolon, Philippe

doi:10.1016/0167-9457(94)90016-7

Cited by 64 publications

(87 citation statements)

References 5 publications

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“…It should be said that the GIE was introduced as a measure of spatial complexity following Cordier and colleagues [1][2][3][4] and has since been adapted to investigate skill [4,5], practice [4] and route design [6] effects. To be clear, your concerns have been discussed elsewhere and for a full theoretical treatment I refer you to Cordier s 1994 and 1996 papers, both, published in Human Movement Science [1,4] (and see also [3]). Aside from its theoretical consistency, a main interest of adapting GIE is, that, according to Cordier et al [4] the GIE can assess the spatial fluency of the climbed trajectory.…”

Section: Responsementioning

confidence: 99%

“…To be clear, your concerns have been discussed elsewhere and for a full theoretical treatment I efe ou to Co die s 99 a d 99 pape s [1,4] (and see also [3]). The main interest of adapting GIE is, that, according to Cordier et al [4] the GIE can assess the spatial fluency of the climbed trajectory.The updated, more explicit description for of the computation is given as follows:…”

Section: Responsementioning

confidence: 99%

“…The main interest of adapting GIE is, that, according to Cordier et al [4] the GIE can assess the spatial fluency of the climbed trajectory.The updated, more explicit description for of the computation is given as follows:…”

Section: Responsementioning

confidence: 99%

“…More formally, the GIE is a ratio of the path length of a trajectory to the perimeter of its convex hull [4] and is a uniquely spatial indicator of performance. GIE is given for a given trajectory : , letting be the trajectory length:…”

Section: Responsementioning

confidence: 99%

See 3 more Smart Citations

Constraints representing a meta-stable régime facilitate exploration during practice and transfer of learning in a complex multi-articular task

Orth

Davids

Seifert

2018

Human Movement Science

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Section: Responsementioning

confidence: 99%

Section: Responsementioning

confidence: 99%

Section: Responsementioning

confidence: 99%

Section: Responsementioning

confidence: 99%

See 2 more Smart Citations

Constraints representing a meta-stable régime facilitate exploration during practice and transfer of learning in a complex multi-articular task

Orth

Davids

Seifert

2018

Human Movement Science

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“…The measure of geometric entropy provides information on how much the trajectory followed by a gesture is spread/dispersed over the available space [23]. The geometric entropy (H) associated to the hand's oscillation is computed on the frontal plane (XY) relative to the interlocutor's point of view (Eq 6):…”

Section: A the Expressive Features Extraction Modulementioning

confidence: 99%

Towards a minimal representation of affective gestures (Extended abstract)

Glowinski

Mortillaro

Scherer

et al. 2015

2015 International Conference on Affective Computing and Intelligent Interaction (ACII)

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Abstract-How efficiently decoding affective information when computational resources and sensor systems are limited? This paper presents a framework for analysis of affective behavior starting with a reduced amount of visual information related to human upper-body movements. The main goal is to individuate a minimal representation of emotional displays based on non-verbal gesture features. The GEMEP (Geneva multimodal emotion portrayals) corpus was used to validate this framework. Twelve emotions expressed by ten actors form the selected data set of emotion portrayals. Visual tracking of trajectories of head and hands was performed from a frontal and a lateral view. Postural/shape and dynamic expressive gesture features were identified and analyzed. A feature reduction procedure was carried out, resulting in a four-dimensional model of emotion expression, that effectively classified/grouped emotions according to their valence (positive, negative) and arousal (high, low). These results show that emotionally relevant information can be detected/measured/obtained from the dynamic qualities of gesture. The framework was implemented as software modules (plug-ins) extending the EyesWeb XMI Expressive Gesture Processing Library and was tested as a component for a multimodal search engine in collaboration with Google within the EU-ICT I-SEARCH project.

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Informational acquisition and cognitive models

Leve

2003

Complexity

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Life forms must organize information into cognitive models reflecting the outside environment, and in a complex and changing environment a life form must constantly select and organize this mass of information to avoid slipping into a chaotic cognitive state. The task of developing and maintaining adaptive cognitive models can be understood through two processes, crucial to regulating the interconnections between environmental elements. The inclusion and exclusion of information follows a process designated by P and the process by which cognitive models change is designated by K. Higher order concepts are created by reducing the interconnections between elements to a minimal number to avoid cognitive chaos. © 2004 Wiley Periodicals, Inc. Complexity 9:31–37, 2004

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Entropy as a global variable of the learning process

Cited by 64 publications

References 5 publications

Constraints representing a meta-stable régime facilitate exploration during practice and transfer of learning in a complex multi-articular task

Constraints representing a meta-stable régime facilitate exploration during practice and transfer of learning in a complex multi-articular task

Towards a minimal representation of affective gestures (Extended abstract)

Informational acquisition and cognitive models

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