Action Recognition Online with Hierarchical Self-Organizing Maps

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


We present a hierarchical self-organizing map based system for online recognition of human actions. We have made a first evaluation of our system by training it on two different sets of recorded human actions, one set containing manner actions and one set containing result actions, and then tested it by letting a human performer carry out the actions online in real time in front of the system’s 3D-camera. The system successfully recognized more than 94% of the manner actions and most of the result actions carried out by the human performer.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Robotics
  • Human Aspects of ICT
  • Philosophy
Original languageEnglish
Title of host publication12th International Conference on Signal Image Technology & Internet-Based Systems
Subtitle of host publicationSITIS 2016. Proceedings.
Place of PublicationLos Alamitos, California
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)978-1-5090-5698-9
Publication statusPublished - 2016
Publication categoryResearch
Event2016 12th International Conference on Signal-Image Technology & Internet-Based Systems - Naples, Italy
Duration: 2016 Nov 282016 Dec 1


Conference2016 12th International Conference on Signal-Image Technology & Internet-Based Systems
Internet address

Related research output

Zahra Gharaee, 2018 Mar 15, Lund: Lund University Cognitive Science. 166 p.

Research output: ThesisDoctoral Thesis (compilation)

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Related projects

Birger Johansson, Christian Balkenius, Magnus Johnsson, Rasmus Bååth, Stefan Winberg, Zahra Gharaee & Trond Arild Tjöstheim


Project: Research

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