Gesture Recognition: A Survey

By Bharti Bansal. 2016

868 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/9dff0c59b5a60123696f1bdda8c4976d004b37fe

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

A Review on Human Activity Recognition Using Vision-Based Method (2017, background): “…components of high level human activities (e.g., the action primitives are served as a layer in hierarchical HMM to recognize activities [95] or interactions [97]), some typical and meaningful action primitives, such as poses and gestures [150], gait pattern [151], are studied as separate topics.”
Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition (2016, background): “However, due to their high cost and calibration requirements, they did not become as popular as video-based gesture recognition systems [1].”
Fuzzy human motion analysis: A review (2014, background): “Also, “pure” gestures are seldom elicited, as people typically demonstrate “blends” of these gestures [138].”
Industry use of virtual reality in product design and manufacturing: a survey (2017, background): “Coupled with gesture recognition algorithms, tracking systems allow natural body movements to be translated into functional interaction techniques (Mitra and Acharya 2007).”
Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks (2016, background): “, [21, 23, 25, 27], regards gesture segmentation and classification separately.”
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition (2016, background): “VISION-BASED gesture recognition [1] is a very important and active field of computer vision research due to a lot of varied applications, such as sign language recognition [2], human computer interaction (HCI) [3], robot control [4], video surveillance [5], augmented reality [6] and video annotatio”
Multi-layered gesture recognition with Kinect (2015, background): “They are considered as the most natural means of communication between humans and computers (Mitra and Acharya, 2007).”
Recent methods and databases in vision-based hand gesture recognition: A review (2015, background): “[7] provided a survey of different gesture recognition ethods, covering hand and arm gestures, head and face gestures, nd body gestures.”
Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera (2015, background): “As current image-based techniques [1]–[3] rely heavily on the prior knowledge of hand models, it is usually problematic to separate the user’s hand from cluttered backgrounds in practical applications, especially when they have similar color and textures such as the face.”
Hand gesture recognition with 3D convolutional neural networks (2015, background): “In the last decade, many vision-based dynamic hand gesture recognition algorithms were introduced [11, 16].”
Challenges in multimodal gesture recognition (2016, background): “Different surveys have been published so far reviewing gesture recognition systems (LaViola Jr., 1999; Mitra and Acharya, 2007; Chaudhary et al., 2011; Ibraheem and Khan, 2012; Avci et al., 2010; Khan and Ibraheem; Kausar and Javed, 2011).”
3D skeleton-based human action classification: A survey (2016, background): “Based on such annotation, the length of each sequence ranges in [14, 493] with an average length of 85 ± 31 frames.”
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions (2014, background): “Both gesture and language have been studied extensively as possible elements of human-robot interaction (Goodrich and Schultz 2007; Mitra and Acharya 2007).”
A review of hand gesture and sign language recognition techniques (2017, methodology): “[60] Mitra and Acharya 2007 Discuss extensively the most commonly used classification method”
Complex dynamical systems in social and personality psychology: theory, modeling, and analysis (2014, neutral): “In addition, gesture recognition algorithms allow hand gesture patterns (discrete categories) to be obtained by learning algorithms applied to body movement data (see Mitra & Acharya, 2007 for a review).”