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Transfer Learning Decision Forests for Gesture Recognition
(Microtome, 2014)
Decision forests are an increasingly popular tool in computer vision problems. Their advantages include high computational efficiency, state-of-the-art accuracy and multi-class support. In this paper, we present a novel ...
Hand gesture recognition in real world scenarios using approximate string matching
(Springer, 2020-04-24)
New interaction paradigms combined with emerging technologies have produced the creation of diverse Natural User Interface (NUI) devices in the market. These devices enable the recognition of body gestures allowing users ...
Two Hand Gesture Based 3D Navigation in Virtual Environments
Natural interaction is gaining popularity due to its simple, attractive, and realistic nature, which realizes direct Human Computer Interaction (HCI). In this paper, we presented a novel two hand gesture based interaction ...
Including multi-stroke gesture-based interaction in user interfaces using a model-driven method
(ASSOCIATION FOR COMPUTING MACHINERY, 2018)
Automatic leg gesture recognition based on portable electromyography readers
(2019-11)
In this paper, recognition of leg gestures is performed using Linear Discriminant Analysis in order to propose a real application for prosthetic leg considering transfemoral amputee. As results, the confusion matrix shows ...
A Comparative Study of Machine Learning Techniques for Gesture Recognition using Kinect
(Igi Publ, 2016)
Progress and technological innovation achieved in recent years, particularly in the area of entertainment and games, have promoted the creation of more natural and intuitive human-computer interfaces. Forexample, natural ...