Real time hand gesture recognition including hand segmentation and tracking [PDF]
, 2006 In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair +7 more
core +2 more sources
Training-Free Acoustic-Based Hand Gesture Tracking on Smart Speakers
Applied Sciences, 2023 Hand gesture recognition is an essential Human–Computer Interaction (HCI) mechanism for users to control smart devices. While traditional device-based methods support acceptable recognition performance, the recent advance in wireless sensing could enable
Xiao Xu +6 more
doaj +1 more source
Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields [PDF]
, 2013 Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in ...
Yi Yao +3 more
core +1 more source
Applied Sciences, 2021 This paper presents an effective signal processing scheme of hand gesture recognition with a superior accuracy rate of judging identical and dissimilar hand gestures.
Guo-Hua Feng, Gui-Rong Lai
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A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]
, 2013 The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured
Yi Yao +3 more
core +1 more source
Recognizing Hand Gestures of a Dancer [PDF]
, 2011 A new and simple two-level decision making system has been designed for performing scale-, translation- and rotation-invariant recognition of various single-hand gestures of a dancer. The orientation filter is used at the first-level to generate a feature vector that is able to distinguish between several gestures. At the second-level the silhouette of
Divya Hariharan +2 more
openaire +2 more sources
Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning
Applied Sciences, 2020 Dynamic hand gesture recognition based on one-shot learning requires full assimilation of the motion features from a few annotated data. However, how to effectively extract the spatio-temporal features of the hand gestures remains a challenging issue ...
Chunyong Ma +4 more
doaj +1 more source
Ultra-Low Power Hand Gesture Sensor Using Electrostatic Induction
Sensors, 2021 This paper presents an ultra-low power hand gesture sensor using electrostatic induction for mobile devices. Two electrodes, which consist of electret foils stacked on metal sheets, are used to recognize two gestures such as hand movements from left to ...
Hiroshi Fuketa
doaj +1 more source
Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
SensorsHand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng +3 more
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Hand Motion and Posture Recognition in a Network of Calibrated Cameras
Advances in Multimedia, 2017 This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter.
Jingya Wang, Shahram Payandeh
doaj +1 more source