Fisher-HHT: A Feature Extraction Approach For Hand Gesture Recognition With a Leap Motion Controller
Author:
Affiliation:
1. Université de Sousse,Ecole Nationale d’Ingénieurs de Sousse, LATIS- Laboratory of Advanced Technology and Intelligent Systems,Sousse,Tunisie,4023
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9805808/9805811/09805899.pdf?arnumber=9805899
Reference26 articles.
1. An EEG-Based Attentiveness Recognition System Using Hilbert–Huang Transform and Support Vector Machine
2. Chronological pattern indexing: An efficient feature extraction method for hand gesture recognition with Leap Motion
3. Hand-Crafted Features vs Deep Learning for Pedestrian Detection in Moving Camera
4. Objective Evaluation of Motor Symptoms in Parkinson’s Disease via a Dual System of LEAP Motion Controllers
5. Fingertip gestures recognition using leap motion and camera for interaction with virtual environment;rehman;Electronics,2020
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1. 2MLMD: Multi-modal Leap Motion Dataset for Home Automation Hand Gesture Recognition Systems;Arabian Journal for Science and Engineering;2024-08-16
2. A Deep GRU-Autoencoder for Dimentionality Reduction in Hand Skeleton Data Sequences classification;2023 IEEE Afro-Mediterranean Conference on Artificial Intelligence (AMCAI);2023-12-13
3. Mid-Air Gesture Based Multi-Finger Control System For Paralyzed Patients Using Leap Motion;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23
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