Sample-Based Human Movement Detection for Interactive Videos Applied to Performing Arts

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the performing arts context, video analysis plays a significant role in analyzing the artists’ movement in educational and professional artistic environments. However, current research lacks user-centered systems for artists to directly engage with movement detection in their respective practice recordings. Our framework presents an annotation tool capable of automatically analyzing human poses of individual examples in real-time and presenting motion data in the form of simple reports.

At the core of this system, augmenting multimedia content by manually adding different types of annotations to the intended video segment is possible. Therefore, we developed novel features that combine automatic intelligent movement analysis with manual annotation capabilities for a more rewarding and efficient user experience. We demonstrate how pose estimation techniques can be employed to set up customized sets of human poses that can be automatically identified in videos. In addition, this paper discusses the results obtained from two system evaluation phases, where we report our findings based on expert feedback.
Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2023
Subtitle of host publication19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III
EditorsJosé Abdelnour Nocera, Marta Kristín Lárusdóttir, Helen Petrie, Antonio Piccinno, Marco Winckler
Place of PublicationCham
PublisherSpringer
Chapter32
Pages567-587
Number of pages20
ISBN (Electronic)978-3-031-42286-7
ISBN (Print)978-3-031-42285-0
DOIs
Publication statusPublished - 2023
Event19th IFIP TC13 International Conference - York, United Kingdom
Duration: 28 Aug 20231 Sept 2023

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer
Volume14144
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th IFIP TC13 International Conference
Country/TerritoryUnited Kingdom
CityYork
Period28/08/231/09/23

Keywords

  • HCI
  • Human Pose Estimation
  • Movement Detection
  • Video Augmentation and Annotation
  • intelligent tools

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