Vision-based hand-gesture applications

By Juan Pablo Wachs, Mathias Kölsch, H. Stern, Yael Edan. Communications of the ACM, 2011

708 citations recorded by the source corpus.

Body posture and finger pointing are a natural modality for human-machine interaction, but first the system must know what it's seeing.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3053d57a47c3041b82821911dd16147bfdac1eab

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In Cognitive Neuroscience

In Human-Computer Interaction

Citations in the corpus

Robust Part-Based Hand Gesture Recognition Using Kinect Sensor (2013, background): “H AND gesture recognition is of great importance for human-computer interaction (HCI), because of its extensive applications in virtual reality, sign language recognition, and computer games [4].”
Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations (2014, background): “language recognition [31]–[34], driver assistance [35], [36], smart environments [21], [37], [38], video games [39], medical instrumentation [40], [41], and other human–computer inter-”
Touch-less interactive augmented reality game on vision-based wearable device (2015, background): “Previous researches have proved that natural human computer interaction (HCI) plays a key role in pervasive games [81] and it will also become the future trend [68].”
Hand gesture recognition with leap motion and kinect devices (2014, background): “In recent years, hand gesture recognition [1] has attracted a growing interest due to its applications in many different fields, such as human-computer interaction, robotics, computer gaming, automatic sign-language interpretation and so on.”
3D Virtual worlds and the metaverse: Current status and future possibilities (2013, background): “…still represent a hindrance of sorts, and represent a variant of the come as you are constraint taken from gesture-based interfaces, which states that ideally user interfaces must minimize the need for attachments or special constraints [Triesch and von der Malsburg 1998; Wachs et al. 2011].”
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera (2011, background): “Categories and Subject Descriptors H.1.2 [User/Machine Systems]: Human information processing; I.4.8 [Scene Analysis]: Depth cues, Shape General Terms Algorithm Keywords Hand Gesture Recognition, Human-Computer Interaction, Kinect Sensor, Finger-Earth Mover’s Distance”
3D Gestural Interaction: The State of the Field (2013, background): “Experiments on 3D gesture recognition systems have also been carried out in terms of how they can be used as 3D gestural user interfaces and there have been a variety of different application domains explored [134].”
Robust hand gesture recognition with kinect sensor (2011, background): “Hand gesture recognition is an important research issue in the field of Human-Computer-Interaction, because of its extensive applications in virtual reality, sign language recognition, and computer games [7].”
Multi-layered gesture recognition with Kinect (2015, background): “Keywords: gesture recognition, Kinect, linguistic characters, multi-layered classification, principle motion, dynamic time warping”
Hand Gesture Recognition Based on Computer Vision: A Review of Techniques (2020, methodology): “…open-source software libraries, it is easier than ever to detect hand gestures that can be used under a wide range of applications like clinical operations [10], sign language [11], robot control [12], virtual environments [13], home automation [14], personal computer and tablet [15], gaming [16].”
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions (2014, background): “…effective modality for teaching robots (Rouanet, Danieau, and Oudeyer 2011), and there is substantial work on gesture recognition in robotics (Wachs et al. 2011), including those using low-cost RGB-D sensors (Ramey, González-Pacheco, and Salichs 2011) and those using temporal or…”
Hand gesture recognition with depth images: A review (2012, methodology): “Hand gesture recognition is used in human-robot interaction (HRI) to create user interfaces that are natural to use and easy to learn [1].”