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Erschienen in: International Journal of Data Science and Analytics 1-2/2016

01.12.2016 | Review

RETRACTED ARTICLE: A survey on human–computer interaction technologies and techniques

verfasst von: Haitham Badi, Mohammed Fadhel, Sana Sabry, Mohamed Jasem

Erschienen in: International Journal of Data Science and Analytics | Ausgabe 1-2/2016

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Abstract

Considerable effort has been put toward the development of intelligent and natural interfaces between users and computer systems. In line with this endeavor, several modes of information (e.g., visual, audio, and pen) that are used either individually or in combination have been proposed. The use of gestures to convey information is an important part of human communication. Hand gesture recognition is widely used in many applications, such as in computer games, machinery control (e.g., crane), and thorough mouse replacement. Computer recognition of hand gestures may provide a natural computer interface that allows people to point at or to rotate a computer-aided design model by rotating their hands. Hand gestures can be classified into two categories: static and dynamic. The use of hand gestures as a natural interface serves as a motivating force for research on gesture taxonomy, its representations, and recognition techniques. This paper summarizes the surveys carried out in human–computer interaction (HCI) studies and focuses on different application domains that use hand gestures for efficient interaction. This exploratory survey aims to provide a progress report on static and dynamic hand gesture recognition (i.e., gesture taxonomies, representations, and recognition techniques) in HCI and to identify future directions on this topic.

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Metadaten
Titel
RETRACTED ARTICLE: A survey on human–computer interaction technologies and techniques
verfasst von
Haitham Badi
Mohammed Fadhel
Sana Sabry
Mohamed Jasem
Publikationsdatum
01.12.2016
Verlag
Springer International Publishing
Erschienen in
International Journal of Data Science and Analytics / Ausgabe 1-2/2016
Print ISSN: 2364-415X
Elektronische ISSN: 2364-4168
DOI
https://doi.org/10.1007/s41060-016-0018-x

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