Digitization of Cypriot Folk Dances

Stavrakis, Efstathios; Aristidou, Andreas; Savva, Maria; Himona, Stephania Loizidou; Chrysanthou, Yiorgos

doi:10.1007/978-3-642-34234-9_41

Cited by 38 publications

(21 citation statements)

References 6 publications

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“…Motion capture systems with active markers use LED's that emit their own light. Stavrakis et al [17] used the Phasespace Impulse X2 motion capture system with active LEDs. This system uses eight cameras that can capture 3D motion using modulated LEDs.…”

Section: Active Markersmentioning

confidence: 99%

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Digitization and Visualization of Folk Dances in Cultural Heritage: A Review

et al. 2018

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According to UNESCO, cultural heritage does not only include monuments and collections of objects, but also contains traditions or living expressions inherited from our ancestors and passed to our descendants. Folk dances represent part of cultural heritage and their preservation for the next generations appears of major importance. Digitization and visualization of folk dances form an increasingly active research area in computer science. In parallel to the rapidly advancing technologies, new ways for learning folk dances are explored, making the digitization and visualization of assorted folk dances for learning purposes using different equipment possible. Along with challenges and limitations, solutions that can assist the learning process and provide the user with meaningful feedback are proposed. In this paper, an overview of the techniques used for the recording of dance moves is presented. The different ways of visualization and giving the feedback to the user are reviewed as well as ways of performance evaluation. This paper reviews advances in digitization and visualization of folk dances from 2000 to 2018.

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Section: Active Markersmentioning

confidence: 99%

“…A game for learning purposes using the Unity 3D game engine and Microsoft Kinect was also proposed [17]. The virtual dancer performs dance moves and the user is asked to repeat them.…”

Section: Types Of Visualization and Feedbackmentioning

confidence: 99%

Digitization and Visualization of Folk Dances in Cultural Heritage: A Review

et al. 2018

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“…Dances are mainly taught in two ways; attending dance lesson or self-learning by watching and imitating demonstrations presented in video or the three-dimensional (3D) virtual environment [3]. Major drawback of video or online websites, where dances can be found is a lack of interactive feedback but virtual reality (VR) and/or AR technology can overcome these limitations [4,5]. These approaches can also improve interaction and enable more functionalities, e.g., zoom in, watch the dancer from different angles, get feedback.…”

Section: Introductionmentioning

confidence: 99%

“…Creating game-like application is also a popular way to encourage specific behaviors and increase motivation and engagement [10]. Examples of game-like environments and interfaces can be found in [4,11,12]. They all propose similar way of learning; avatar of the teacher is shown, and user is supposed to imitate teacher's movements.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Learning Process of Folk Dances Using Mobile Augmented Reality

Kico

Liarokapis

2020

Applied Sciences

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Learning how to dance is not an easy task and traditional teaching methods are the main approach. Digital technologies (such as video recordings of dances) have already been successfully used in combination with the traditional methods. However, there are other emerging technologies such as virtual and augmented reality that have the potential of providing greater assistance, in order to speed up the process as well as assisting the learners. This paper presents a prototype mobile augmented reality application for assisting the process of learning folk dances. Initially, a folk dance was digitized based on recordings from professional dancers. Avatar representations (of either male or female) are synchronized with the digital representation of the dance. To assess the effectiveness of mobile augmented reality, it was comparatively evaluated with a large back-projection system in laboratory conditions. Twenty healthy participants took part in the study, and their movements were captured using motion capture system and then compared with the recordings from the professional dancers. Experimental results indicate that augmented reality (AR) application has the potential to be used for learning process.

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“…More specifically, motion acquisition has been enabled using motion capture systems (e.g., optical, inertial or RGB-Depth motion capture systems). These systems have proven to be an effective technology and a convenient tool for capturing, and digitizing complex human dynamic movements, advancing the ability to digitally store, curate, present and re-use intangible creations, such as folk dancing [59,92]. With the emergence of motion capture data and the large availability of motion datasets, such as the Dance Motion Capture Database (DMCD) [29], content-based motion analysis techniques have become essential for organizing dance motion collections.…”

Section: Introductionmentioning

confidence: 99%

Digital Dance Ethnography

Aristidou

Shamir

Chrysanthou

2019

J. Comput. Cult. Herit.

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Folk dances often reflect the socio-cultural influences prevailing in different periods and nations; each dance produces a meaning, a story with the help of music, costumes and dance moves. However, dances have no borders; they have been transmitted from generation to generation, along different countries, mainly due to movements of people carrying and disseminating their civilization. Studying the contextual correlation of dances along neighboring countries, unveils the evolution of this unique intangible heritage in time, and helps in understanding potential cultural similarities. In this work we present a method for contextually motion analysis that organizes dance data semantically, to form the first digital dance ethnography. Firstly, we break dance motion sequences into some narrow temporal overlapping feature descriptors, named motion and style words, and then cluster them in a high-dimensional features space to define motifs. The distribution of those motion and style motifs creates motion and style signatures, in the content of a bag-of-motifs representation, that implies for a succinct but descriptive portrayal of motions sequences. Signatures are timescale and temporal-order invariant, capable of exploiting the contextual correlation between dances, and distinguishing fine-grained difference between semantically similar motions. We then use quartet-based analysis to organize dance data into a categorization tree, while inferred information from dance metadata descriptions are then used to set parent-child relationships. We illustrate a number of different organization trees, and portray the evolution of dances over time. The efficiency of our method is also demonstrated in retrieving contextually similar dances from a database.

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Digitization of Cypriot Folk Dances

Cited by 38 publications

References 6 publications

Digitization and Visualization of Folk Dances in Cultural Heritage: A Review

Digitization and Visualization of Folk Dances in Cultural Heritage: A Review

Investigating the Learning Process of Folk Dances Using Mobile Augmented Reality

Digital Dance Ethnography

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