A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]
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
Training-Free Acoustic-Based Hand Gesture Tracking on Smart Speakers
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
Hand gesture segmentation in uncontrolled environments with partition matrix and a spotting scheme based on hidden conditional random field [PDF]
Hand gesture segmentation is the task of interpreting and spotting meaningful hand gestures from continuous hand gesture sequences with non-sign transitional hand movements.
Yi Yao +3 more
core +1 more source
Hand gesture recognition (HGR) is a natural kind of human-machine interaction that has been used in a variety of settings. In this chapter, the authors address work in the field of HGR applications in industrial robots, with an emphasis on processing stages and approaches in gesture-based human-robot interaction (HRI), which may be beneficial to other ...
Hitesh Kumar Sharma, Tanupriya Choudhury
+4 more sources
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
doaj +1 more source
Instant 3D design concept generation and visualization by real-time hand gesture recognition [PDF]
3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle.
Wright, David +9 more
core +1 more source
Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning
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
Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
Hand 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
doaj +1 more source
Recognizing Hand Gestures of a Dancer [PDF]
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
Hand Motion and Posture Recognition in a Network of Calibrated Cameras
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

