Robust hand gesture recognition with kinect sensor

By Zhou Ren, Jingjing Meng, Junsong Yuan, Zhengyou Zhang. ACM Multimedia, 2011

321 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5391193c341365535597f9070fd8d6ae642a731d

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Citations in the corpus

A Survey of Datasets for Human Gesture Recognition (2014, background): “C. Conly, P. Doliotis, P. Jangyodsuk, R. Alonzo, V. Athitsos, Toward a 3D Body Part Detection Video Dataset and Hand Tracking Benchmark Categories and Subject Descriptors, in: Pervasive Technol.”
Survey on 3D Hand Gesture Recognition (2016, methodology): “After hand detection and tracking, either static hand gesture recognition [68]–[70]”
Spatial Temporal Transformer Network for Skeleton-based Action Recognition (2020, background): “Moreover, recent advances in 3D depth cameras such as Microsoft Kinect sensors [1], [2] and advanced human pose estimation algorithms [3], [4] made it possible to estimate 3D skeleton coordinates quickly and accurately with cheap devices.”
Human-Computer Interaction. Advanced Interaction Modalities and Techniques (2014, background): “The recent man and the great apes like the chimpanzees can use hand gestures for communication [31].”
Online Action Recognition via Nonparametric Incremental Learning (2014, background): “Applications in which this constraint holds include: large scale datasets [15], surveillance systems [20] [24] [32], disease recognition [13] [40], human-computer interaction [27] [42], human-robot interaction [12] [16] and robot cooperation [10].”
Challenges in multimodal gesture recognition (2016, background): “…of static gestures, frequently hand shape is the important differentiating feature (Cui and Weng, 2000; Freeman and Roth, 1996; Kelly et al., 2010; Ren et al., 2011b; Triesch and von der Malsburg, 2002), although the pose of the rest of the body can also be important, e.g., (Yang et al., 2010;…”
Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition (2014, methodology): “In [11], both depth and color information captured by Kinect were used to achieve hand detection and gesture recognition.”
Robust Part-Based Hand Gesture Recognition Using Kinect Sensor (2013, methodology): “The hand gesture dataset we collected with Kinect sensor and the technical demo video [40] showing these two HCI applications are available at http://eeeweba.ntu.edu.sg/ computervision/people/home/renzhou.”
Skeleton-based action recognition via spatial and temporal transformer networks (2020, background): “Recent advances in 3D depth cameras such as Microsoft Kinect [55, 38] and Intel RealSense [21] sensors, and advanced human pose estimation algorithms [5, 9] made it possible to estimate 3D skeleton coordinates quickly and accurately with cheap deq”
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera (2011, methodology): “We have built a demo to demonstrate the superiority of our method in real-life applications [7].”