Poeme

Cuykendall, Shannon; Soutar-Rau, Ethan; Schiphorst, Thecla

doi:10.1145/2839462.2856339

Cited by 26 publications

(3 citation statements)

References 5 publications

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“…Besides the benefit of social dances for health as improving balance and cognition for elderly [26,27,28], its interactive aspect has been touched upon by the HRI domain. For example, where through sensors detection, the user's movements transcribed into an intermediary data set to generate poetry [13,14]. Human to human interaction has also been explored via a setup of patches [43] and scene ranking [47] in the context of an animated character.…”

Section: Related Workmentioning

confidence: 99%

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Senecal

Nijdam

Aristidou

et al. 2020

Multimed Tools Appl

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Learning couple dance such as salsa is challenging as it requires to understand and assimilate all the dance skills (guidance, rhythm, style) correctly. Salsa is traditionally learned by attending a dancing class with a teacher and practice with a partner, the difficulty to access such classes though, and the variability of dance environment can impact the learning process. Understanding how people learn using a virtual reality platform could bring interesting knowledge in motion analysis and can be the first step toward a complementary learning system at home. In this paper, we propose an interactive learning application in the form of a virtual reality game, that aims to help the user to improve its salsa dancing skills. The application was designed upon previous literature and expert discussion and has different components that simulate salsa dance: A virtual partner with interactive control to dance with, visual and haptic feedback, and a game mechanic with dance tasks. This application is tested on a two-class panel of 20 regular and 20 non-dancers, and their learning is evaluated and analyzed through the extraction of Musical Motion Features and the Laban Motion Analysis system. Both motion analysis frameworks were compared prior and after training and show a convergence of the profile of non-dancer toward the profile of regular dancers, which validates the learning process. The work presented here has profound implications for future studies of motion analysis, couple dance learning, and human-human interaction.

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Section: Related Workmentioning

confidence: 99%

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Senecal

Nijdam

Aristidou

et al. 2020

Multimed Tools Appl

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show abstract

“…Health studies show the benefit of social dances for balance and cognition for elderly (Merom et al, 2013;Merom et al, 2016a;Merom et al, 2016b). Moreover, the interactive aspect has been touched upon by the HRI domain, where through Inertial Measurement Unit (IMU) detection the user's movements were transcribed into an intermediary data set to generate poetry (Cuykendall et al, 2016a;Cuykendall et al, 2016b). Human to human interaction has been explored via a setup of patches (Shum et al, 2008) and scene ranking (Won et al, 2014) in the context of animated character.…”

Section: State Of the Artmentioning

confidence: 99%

Classification of Salsa Dance Level using Music and Interaction based Motion Features

Senecal

Nijdam

Thalmann

2019

Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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Learning couple dance such as Salsa is a challenge for the modern human as it requires to assimilate and understand correctly all the dance parameters. Traditionally learned with a teacher, some situation and the variability of dance class environment can impact the learning process. Having a better understanding of what is a good salsa dancer from motion analysis perspective would bring interesting knowledge and can complement better learning. In this paper, we propose a set of music and interaction based motion features to classify salsa dancer couple performance in three learning states (beginner, intermediate and expert). These motion features are an interpretation of components given via interviews from teacher and professionals and other dance features found in systematic review of papers. For the presented study, a motion capture database (SALSA) has been recorded of 26 different couples with three skill levels dancing on 10 different tempos (260 clips). Each recorded clips contains a basic steps sequence and an extended improvisation sequence during two minutes in total at 120 frame per second. Each of the 27 motion features have been computed on a sliding window that corresponds to the 8 beats reference for dance. Different multiclass classifier has been tested, mainly k-nearest neighbours, Random forest and Support Vector Machine, with an accuracy result of classification up to 81% for three levels and 92% for two levels. A later feature analysis validates 23 out of 27 proposed features. The work presented here has profound implications for future studies of motion analysis, couple dance learning and human-human interaction.

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“…Recently Cuykendall et al (2016) used poetry to make sense of movement. They developed POEME, a poetry engine that links the quality of movement to poetic verses.…”

Section: State Of the Art On The Use Of Poetry In Designmentioning

confidence: 99%

Poetry as a cross-cultural analysis and sensitizing tool in design

Marti

Houwen

2017

AI & Soc

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The overall trend toward globalization in design, greatly enhanced by digital technologies, has raised issues and challenges on how to preserve the cultural differences and values of different societies. There is a tendency to lose touch with local cultural values when designing artefacts for global use, and social nuances and traditions risk to be flattened or stereotyped in the pursuit of developing new technologies and products for the global society. Attempts to reduce the tension between the global and the local in design can be seen in the development of standards and guidelines for cross-cultural design, that are mostly focused on (online) user interface design. However, when moving from preferences, metaphors, appearance, and navigation toward cultural models of interaction and physical design, new methodologies and tools for cross-cultural design are needed. This paper describes a poetry-inspired design method for cross-cultural sharing within the design process. The approach uses poetry to sensitize the designer to the subtleties and diversity of a (new or known) culture so that the design can be given new aesthetic and cultural significance. The methodology is exemplified by actual design cases developed within the course “Cultural Sensitivity” of the Master’s Degree Program in Industrial Design at Eindhoven University of Technology, where poetry was used for uncovering underlying or implicit assumptions, intercultural differences and similarities, as well as for general sensitization of young designers

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Poeme

Cited by 26 publications

References 5 publications

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Classification of Salsa Dance Level using Music and Interaction based Motion Features

Poetry as a cross-cultural analysis and sensitizing tool in design

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