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A systematic literature review on vision based gesture recognition techniques
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …
interact with computing devices and adapting to the constantly increasing demands of …
Vision based hand gesture recognition for human computer interaction: a survey
As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …
RETRACTED ARTICLE: Human–computer interaction using vision-based hand gesture recognition systems: a survey
H Hasan, S Abdul-Kareem - Neural Computing and Applications, 2014 - Springer
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 …
interfaces between users and computer systems. In line with this endeavor, several modes …
Survey on 3D hand gesture recognition
Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
computer vision, pattern recognition, and human-computer interaction. The emerging depth …
Finger motion detection based on optical fiber Bragg grating with polyimide substrate
Y Guo, J Zhu, L **ong, J Guan - Sensors and Actuators A: Physical, 2022 - Elsevier
Gestures play an important role in human-computer interaction, which provides a natural
way for human-machine communication. In this paper, we proposed a new finger motion …
way for human-machine communication. In this paper, we proposed a new finger motion …
Model-based hand pose estimation via spatial-temporal hand parsing and 3D fingertip localization
In this paper we present a novel vision-based markerless hand pose estimation scheme with
the input of depth image sequences. The proposed scheme exploits both temporal …
the input of depth image sequences. The proposed scheme exploits both temporal …
Optical myography: detecting finger movements by looking at the forearm
One of the crucial problems found in the scientific community of assistive/rehabilitation
robotics nowadays is that of automatically detecting what a disabled subject (for instance, a …
robotics nowadays is that of automatically detecting what a disabled subject (for instance, a …
Gravity optimised particle filter for hand tracking
M Morshidi, T Tjahjadi - Pattern Recognition, 2014 - Elsevier
This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the
gravitational force for every particle is proportional to its weight. GOPF attracts nearby …
gravitational force for every particle is proportional to its weight. GOPF attracts nearby …
A natural and synthetic corpus for benchmarking of hand gesture recognition systems
The use of hand gestures offers an alternative to the commonly used human–computer
interfaces (ie keyboard, mouse, gamepad, voice, etc.), providing a more intuitive way of …
interfaces (ie keyboard, mouse, gamepad, voice, etc.), providing a more intuitive way of …
OMG: introducing optical myography as a new human machine interface for hand amputees
Given the recent progress in the development of computer vision, it is nowadays possible to
optically track features of the human body with unprecedented precision. We take this as a …
optically track features of the human body with unprecedented precision. We take this as a …