Improve dancing skills with motion capture systems: case study of a taiwanese high school dance class

Chen, Hui-Yu; Cheng, Yung-Hsun; Lo, Artie

doi:10.1080/14647893.2021.1980524

Cited by 2 publications

(13 citation statements)

References 13 publications

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“…In computer graphics, several interactive dance systems have been proposed to enhance dance learning and teaching [16][17][18]. Basically, these methods export dance movement features to enable comparisons between dances performed by professional dancers (teachers) and amateurs (students).…”

Section: Dance Evaluationmentioning

confidence: 99%

Let’s all dance: Enhancing amateur dance motions

Zhou

Qiong

et al. 2023

Comp. Visual Media

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Professional dance is characterized by high impulsiveness, elegance, and aesthetic beauty. In order to reach the desired professionalism, it requires years of long and exhausting practice, good physical condition, musicality, but also, a good understanding of choreography. Capturing dance motions and transferring them to digital avatars is commonly used in the film and entertainment industries. However, so far, access to high-quality dance data is very limited, mainly due to the many practical difficulties in capturing the movements of dancers, making it prohibitive for large-scale data acquisition. In this paper, we present a model that enhances the professionalism of amateur dance movements, allowing movement quality to be improved in both spatial and temporal domains. Our model consists of a dance-to-music alignment stage responsible for learning the optimal temporal alignment path between dance and music, and a dance-enhancement stage that injects features of professionalism in both spatial and temporal domains. To learn a homogeneous distribution and credible mapping between the heterogeneous professional and amateur datasets, we generate amateur data from professional dances taken from the AIST++ dataset. We demonstrate the effectiveness of our method by comparing it with two baseline motion transfer methods via thorough qualitative visual controls, quantitative metrics, and a perceptual study. We also provide temporal and spatial module analysis to examine the mechanisms and necessity of key components of our framework.

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Section: Dance Evaluationmentioning

confidence: 99%

Let’s all dance: Enhancing amateur dance motions

Zhou

Qiong

et al. 2023

Comp. Visual Media

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“…Because most classifications have the category 'markerless systems' and 'markerbased systems', we listed them as further subcategories [2,6,15,21]. The category 'markerless systems' incorporates all systems that do not need markers attached to the tracked person, while marker-based systems use either active or passive markers to detect the human's movements.…”

Section: Motion Capture Systems: Definition and Classificationsmentioning

confidence: 99%

“…Based on the information of the authors Jaime-Gil et Optical as well as nonoptical systems were used by the studies in our review. Within the group of optical MCSs, the systems can be further distinguished depending on whether or not they use markers: nine studies used markerless systems [12,14,16,17,[48][49][50][51][52] and eight studies used marker-based systems [11,15,18,[53][54][55][56][57]. Among markerless systems, the Kinect was used in six out of nine studies.…”

Section: The Types Of Systems and The Systems Usedmentioning

confidence: 99%

“…The following systems were used in one study each: Actigraph GT3X+ [58], A-Eye [49], a digital SLR camera (Fujifilm Finepix S6500fd) and reflective markers [56], Fastrak [59], IMOCAP [10], Perception Legacy System [15], a projection-base VR-webcam [14], CAVE (Cave Automatic Virtual Environment) [57], a webcam [52], and Xsens [53].…”

Section: The Types Of Systems and The Systems Usedmentioning

confidence: 99%

“…The use of MCSs in educational research is an emerging research area. MCSs are used to investigate different school subjects and topics such as literacy and numeracy [14] and physical activities [10,15], but also different groups of students, for example, school students with intellectual disabilities [14], students with ADHD [16,17], or those who are blind [18].…”

Section: Introductionmentioning

confidence: 99%

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Motion Capture Systems and Their Use in Educational Research: Insights from a Systematic Literature Review

Reuter

2023

Education Sciences

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Motion capture is gaining significance in educational research. Different motion capture systems (MCSs) are used in educational research for different purposes and in different ways, which creates a diversity that is difficult to monitor. The aim of this article is to provide an overview of MCSs and their uses in educational research addressing primary and secondary school education. We conducted a systematic review focusing on the types of MCSs and the concrete systems being used, looking at how they are used, the purposes of their use, the aims and the research questions under investigation, the subjects/topics addressed in the studies, the locations/places of use, the potential benefits of using MCSs perceived by the researchers, and the underlying theories of movement. Based on n = 20 studies focusing on primary and secondary school education identified in our database search, we found that these studies mainly used optical MCSs. Furthermore, we identified three main purposes of their use: to directly support the learning process of students, as analysis tools, or for developing tutoring systems that support students in their learning. This paper gives insights into the use of MCSs in educational research and provides a springboard for further research using MCSs in educational research.

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Improve dancing skills with motion capture systems: case study of a taiwanese high school dance class

Cited by 2 publications

References 13 publications

Let’s all dance: Enhancing amateur dance motions

Let’s all dance: Enhancing amateur dance motions

Motion Capture Systems and Their Use in Educational Research: Insights from a Systematic Literature Review

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