Understanding Human Behaviour With Wearable Cameras Based on Information From the Human Hand

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2024Publisher:ZenodoJournal:Proceedings of the Joint visuAAL-GoodBrother Conference on trustworthy video- and audio-based assistive technologiesFunded by:EC | visuAAL

Authors: Mucha, Wiktor; Kampel, Martin;

doi: 10.5281/zenodo.13990015 , 10.5281/zenodo.13990014

Understanding Human Behaviour With Wearable Cameras Based on Information From the Human Hand

- Summary
- Metrics

Abstract

Hand pose estimation is one of the critical tasks in egocentric vision, as humans interact with thousands of objects with their hands every day. We discuss key factors for egocentric hand pose estimation for ma single camera and how retrieved hand skeletons can be used in applications for modelling human behaviour.

Related Organizations

TU Wien
Austria

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

0

Average

Funded by

EC| visuAAL