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Search: L773:2052 4463 > (2024) > AVDOS-VR :

  • Gnacek, MichalBournemouth University, UK; Emteq Labs, UK (author)

AVDOS-VR : Affective Video Database with Physiological Signals and Continuous Ratings Collected Remotely in VR

  • Article/chapterEnglish2024

Publisher, publication year, extent ...

  • 2024
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:su-226650
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-226650URI
  • https://doi.org/10.1038/s41597-024-02953-6DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Investigating emotions relies on pre-validated stimuli to evaluate induced responses through subjective self-ratings and physiological changes. The creation of precise affect models necessitates extensive datasets. While datasets related to pictures, words, and sounds are abundant, those associated with videos are comparatively scarce. To overcome this challenge, we present the first virtual reality (VR) database with continuous self-ratings and physiological measures, including facial EMG. Videos were rated online using a head-mounted VR device (HMD) with attached emteqPRO mask and a cinema VR environment in remote home and laboratory settings with minimal setup requirements. This led to an affective video database with continuous valence and arousal self-rating measures and physiological responses (PPG, facial-EMG (7x), IMU). The AVDOS-VR database includes data from 37 participants who watched 30 randomly ordered videos (10 positive, neutral, and negative). Each 30-second video was assessed with two-minute relaxation between categories. Validation results suggest that remote data collection is ecologically valid, providing an effective strategy for future affective study designs. All data can be accessed via: www.gnacek.com/affective-video-database-online-study.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Velez Quintero, Luis Eduardo,1993-Stockholms universitet,Institutionen för data- och systemvetenskap(Swepub:su)luva3178 (author)
  • Mavridou, IfigeneiaEmteq Labs, UK (author)
  • Balaguer-Ballester, EmiliBournemouth University, UK (author)
  • Kostoulas, TheodorosUniversity of the Aegean, Greece (author)
  • Nduka, CharlesEmteq Labs, UK (author)
  • Seiss, EllenBournemouth University, UK (author)
  • Bournemouth University, UK; Emteq Labs, UKInstitutionen för data- och systemvetenskap (creator_code:org_t)

Related titles

  • In:Scientific Data112052-4463

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