Model matchingGesture recognition has been studied for many decades and remains an open problem. One possible reason is that the features extracted for gesture recognition are not effective enough. A trained person could recognize a variety of gestures robustly based on the contour of the hand. ...
Teams: University of Lincoln Writers: Christopher Headleand, Benjamin Williams, Jussi Holopainen, Marlon Gilliam PDF:A Gesture Recognition Model for Virtual Reality Motion Controllers Abstract In this paper we discuss gesture recognition in the domain of Virtual Reality (VR) video games. We begin by...
A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, repurpose it for hand detection using Transfer Learning Toolkit 3.0, and use it together with the purpose-built gesture
Widar3.0: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi[Project] BVP size: 22 x 20 x 20 number of classes: 22 classes: Push&Pull, Sweep, Clap, Slide, Draw-N(H), Draw-O(H),Draw-Rectangle(H), Draw-Triangle(H), Draw-Zigzag(H), Draw-Zigzag(V), Draw-N(V), Draw-O(V...
Int. Jour. of Pattern Recognition and Artificial Intelligence, 15(1):123... AD Wilson,AF Bobick - 《International Journal of Pattern Recognition & Artificial Intelligence》 被引量: 103发表: 2001年 Gesture recognition using the multi-PDM method and hidden Markov model This paper introduces a ...
2022 Elsevier LtdUltrasonic-based technologies could provide light-independent and high-resolution solutions in no-contact human–machine interaction. This paper proposed a gesture recognition system on the basis of ultrasonic frequency modulated continuous wave (FMCW) and ConvLSTM model. It employed a ha...
Abnormal getsure recognitionLarge-scale isolated gesture recognitionMulti-modal fusion modelRes-C3D networkIn this paper, we present a novel refined fused model combining masked Res-C3D network and skeleton LSTM for abnormal gesture recognition in RGB-D videos. The key to our design is to learn....
An implementation of the HMM-based threshold model approach for gesture recognition proposed by HK Lee (http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=799904) - GitHub - Libaier/HMMBasedGestureRecognition: An implementation of the HMM-based thresho
RECOGNITION OF HAND GESTURE BASED ON GAUSSIAN MIXTURE MODEL
The model is trained using the YOLO11 framework on a custom dataset of Rock-Paper-Scissors hand gestures. With real-time detection capabilities, this model can be used for live applications, enabling smooth gesture recognition. - alihassanml/Rcok-Seassor