Author image not provided
 Alina Glushkova

Authors:
Add personal information
  Affiliation history
Bibliometrics: publication history
Average citations per article0.20
Citation Count1
Publication count5
Publication years2014-2016
Available for download3
Average downloads per article88.33
Downloads (cumulative)265
Downloads (12 Months)79
Downloads (6 Weeks)2
SEARCH
ROLE
Arrow RightAuthor only


AUTHOR'S COLLEAGUES
See all colleagues of this author

SUBJECT AREAS
See all subject areas




BOOKMARK & SHARE


5 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 5 of 5
Sort by:

1 published by ACM
July 2016 MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 17,   Downloads (Overall): 31

Full text available: PDFPDF
In this paper, we present good practices of applying and extending Random Decision Forests (RDFs) for the 3D modelling of scenes where humans interact with moving, deformable and revolving objects in a professional context. We apply our method to two use-cases; the first is in the industrial context of the ...
Keywords: pottery, Random Decision Forest, gesture, human interaction, scene classification, leather

2 published by ACM
July 2016 MOCO '16: Proceedings of the 3rd International Symposium on Movement and Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 25,   Downloads (Overall): 53

Full text available: PDFPDF
This paper presents a unified framework computer vision approach for finger gesture early recognition and interaction that can be applied on sequences of either RGB or depth images without any supervised skeleton extraction. Either RGB or time-of-flight cameras can be used to capture finger motions. The hand detection is based ...
Keywords: Finger motion patterns, computer vision, standardized interaction, unified framework, user-defined interaction, early recognition

3
May 2015 CSEDU 2015: Proceedings of the 7th International Conference on Computer Supported Education - Volume 1
Publisher: SCITEPRESS - Science and Technology Publications, Lda
Bibliometrics:
Citation Count: 0

The acquisition of gestural know-how in manual professions constitutes a real challenge since it passes from master to learner, through a many years long « in person » transmission. However this binding transmission is not always possible for practical reasons; the learner must train himself alone, by using traditional Knowledge ...
Keywords: Expert Gesture, Gesture Recognition, Know-how Management, Sensorimotor Feedback., Motion Capture

4
May 2015 CSEDU 2015: Proceedings of the 7th International Conference on Computer Supported Education - Volume 1
Publisher: SCITEPRESS - Science and Technology Publications, Lda
Bibliometrics:
Citation Count: 0

This paper presents an open and extendable platform that provides access to ICH resources, enables knowledge exchange between researchers and contributes to the transmission of rare know-how from their holders to the next generations. The platform is a hybrid Content-Learning Management system that permits the creation of new content of ...
Keywords: Access to Intangible Cultural Heritage, Learning and Content Management System, Multisensory Technologies., Semantic Browsing, Ontological Concepts

5 published by ACM
June 2014 Journal on Computing and Cultural Heritage (JOCCH) - Special Issue on Interacting with the Past: Volume 7 Issue 2, July 2014
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 37,   Downloads (Overall): 181

Full text available: PDFPDF
This research has been conducted in the context of the ArtiMuse project that aims at the modeling and renewal of rare gestural knowledge and skills involved in the traditional craftsmanship and more precisely in the art of wheel-throwing pottery. These knowledge and skills constitute intangible cultural heritage and refer to ...
Keywords: HCI, Perception, inertial sensors, machine learning



The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us