Recent methods and databases in vision-based hand gesture recognition: A review
PK Pisharady, M Saerbeck - Computer Vision and Image Understanding, 2015 - Elsevier
Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …
the path for natural human–computer interaction systems. Unresolved challenges such as …
A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Static and dynamic hand gesture recognition in depth data using dynamic time warping
G Plouffe, AM Cretu - IEEE transactions on instrumentation and …, 2015 - ieeexplore.ieee.org
This paper discusses the development of a natural gesture user interface that tracks and
recognizes in real time hand gestures based on depth data collected by a Kinect sensor …
recognizes in real time hand gestures based on depth data collected by a Kinect sensor …
Different approaches for human activity recognition: A survey
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
A multimodal framework for sensor based sign language recognition
In this paper, we propose a novel multimodal framework for isolated Sign Language
Recognition (SLR) using sensor devices. Microsoft Kinect and Leap motion sensors are …
Recognition (SLR) using sensor devices. Microsoft Kinect and Leap motion sensors are …
Computer vision-based hand gesture recognition for human-robot interaction: a review
J Qi, L Ma, Z Cui, Y Yu - Complex & Intelligent Systems, 2024 - Springer
As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
Dynamic hand gesture recognition based on signals from specialized data glove and deep learning algorithms
Y Dong, J Liu, W Yan - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …
and more attention on human-machine interaction (HMI) recently. However, visual-based …
Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …
vitally important role in natural human-computer interface. Although great progress has been …
An efficient method for human hand gesture detection and recognition using deep learning convolutional neural networks
The physical movement of the human hand produces gestures, and hand gesture
recognition leads to the advancement in automated vehicle movement system. In this paper …
recognition leads to the advancement in automated vehicle movement system. In this paper …
Dynamic hand gesture recognition using vision-based approach for human–computer interaction
In this work, a vision-based approach is used to build a dynamic hand gesture recognition
system. Various challenges such as complicated background, change in illumination and …
system. Various challenges such as complicated background, change in illumination and …