Evidence map›Paper›PMID 40218828›Full record

ReviewSensors (Basel, Switzerland)2025

Sensing the Inside Out: An Embodied Perspective on Digital Animation Through Motion Capture and Wearables.

Katerina El-Raheb, Lori Kougioumtzian, Vilelmini Kalampratsidou, Anastasios Theodoropoulos, Panagiotis Kyriakoulakos, Spyros Vosinakis

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Katerina El-RahebDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0002-3005-8081
Lori KougioumtzianDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0002-4526-3328
Vilelmini KalampratsidouDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0002-4786-3255
Anastasios TheodoropoulosDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0002-0143-4228
Panagiotis KyriakoulakosDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0002-2001-8182
Spyros VosinakisDepartment of Performing and Digital Arts, University of the Peloponnese 1, 211 00 Nafplio, Greece.ORCID 0000-0003-1735-4297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few decades, digital technology has played an important role in innovating the pipeline, techniques, and approaches for creating animation. Sensors for motion capture not only enabled the incorporation of physical human movement in all its precision and expressivity but also created a field of collaboration between the digital and performing arts. Moreover, it has challenged the boundaries of cinematography, animation, and live action. In addition, wearable technology can capture biosignals such as heart rate and galvanic skin response that act as indicators of the emotional state of the performer. Such metrics can be used as metaphors to visualise (or sonify) the internal reactions and bodily sensations of the designed animated character. In this work, we propose a framework for incorporating the role of the performer in digital character animation as a real-time designer of the character's affect, expression, and personality. Within this embodied perspective, sensors that capture the performer's movement and biosignals are viewed as the means to build the nonverbal personality traits, cues, and signals of the animated character and their narrative. To do so, following a review of the state of the art and relevant literature, we provide a detailed description of what constitute nonverbal personality traits and expression in animation, social psychology, and the performing arts, and we propose a workflow of methodological and technological toolstowardsan embodied perspective for digital animation.

Indexed as

Biosensing TechniquesWearable Electronic DevicesEmotionsGalvanic Skin ResponseHeart RateHumansMotionMotion CaptureMovementbiosignalscharacter designdigital animationmotion capturenonverbal communicationsensors

Identifiers

PMID40218828
PMCPMC11991142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.