Evidence map›Paper›PMID 41264081›Full record

ArticleVisual computing for industry, biomedicine, and art2025

Body Cosmos 2.0: embodied biofeedback interface for dancing.

Rem RunGu Lin, Koo Yongen Ke, Kang Zhang

Abstract read
In one paragraph

Article in Visual computing for industry, biomedicine, and art, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rem RunGu LinComputational Media and Art, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, 510000, China.
Koo Yongen KeFuntheory/Befun Lab, Guangzhou, Guangdong, 510000, China.
Kang ZhangComputational Media and Art, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, 510000, China. kzhangcma@hkust-gz.edu.cn.ORCID http://orcid.org/0000-0003-3802-7535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents Body Cosmos 2.0, an embodied biofeedback system with an interactive interface situated at the intersection of dance, human-computer interaction, and bio-art. Building on the authors' prior work, "Body Cosmos: An Immersive Experience Driven by Real-time Bio-data," the system presents the concept of a 'bio-body'-a dynamic digital embodiment of a dancer's internal state-generated in real-time through electroencephalography, heart rate sensors, motion tracking, and visualization techniques. Dancers interact with the system through three distinct experiences "VR embodiment," which enables them to experience their internal states from a first-person perspective; "dancing within your bio-body," which immerses them in their internal physiological and emotional states; and "dancing with your bio-body," which creates a bio-digital reflection for expressive development and experiential exploration. To evaluate the system's effectiveness, a workshop was conducted with 24 experienced dancers to assess its impact on self-awareness, creativity, and dance expressions. This integration of biodata with artistic expression transcends traditional neurofeedback and delves into the realm of embodied cognition. The study explores the concept, development, and application of "Body Cosmos 2.0," highlighting its potential to amplify self-awareness, augment performance, and expand the expressive and creative possibilities of dance.

Indexed as

BiofeedbackDancing technologyElectroencephalography visualizationEmbodied interaction

Identifiers

PMID41264081
PMCPMC12634995

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.