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An exploration into human–computer interaction: Hand gesture recognition management in a challenging environment
Scientists are develo** hand gesture recognition systems to improve authentic, efficient,
and effortless human–computer interactions without additional gadgets, particularly for the …
and effortless human–computer interactions without additional gadgets, particularly for the …
Real-time robotic hand control using hand gestures
JL Raheja, R Shyam, U Kumar… - … Conference on Machine …, 2010 - ieeexplore.ieee.org
This paper presents a new approach for controlling robotic hand or an individual robot by
merely showing hand gestures in front of a camera. With the help of this technique one can …
merely showing hand gestures in front of a camera. With the help of this technique one can …
[HTML][HTML] A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models
This paper presents a novel methodology that utilizes gesture recognition data, which are
collected with a Leap Motion Controller (LMC), in tandem with the Spotted Hyena-based …
collected with a Leap Motion Controller (LMC), in tandem with the Spotted Hyena-based …
Long range communications in urban and rural environments
This paper presents a new approach for controlling robotic hand or an individual robot by
merely showing hand gestures in front of a camera. With the help of this technique one can …
merely showing hand gestures in front of a camera. With the help of this technique one can …
[HTML][HTML] Fingertip gestures recognition using leap motion and camera for interaction with virtual environment
The emergence in computing and the latest hardware technologies realized the use of
natural interaction with computers. Gesture-based interaction is one of the prominent fields …
natural interaction with computers. Gesture-based interaction is one of the prominent fields …
Scalable nonlinear embeddings for semantic category-based image retrieval
We propose a novel algorithm for the task of supervised discriminative distance learning by
nonlinearly embedding vectors into a low dimensional Euclidean space. We work in the …
nonlinearly embedding vectors into a low dimensional Euclidean space. We work in the …
The design space of dynamic interactive virtual environments
KJ Blom, S Beckhaus - Virtual Reality, 2014 - Springer
Virtual environments have become a key component of many fields and the critical
component of virtual reality applications. Due to their virtual nature, they can accommodate …
component of virtual reality applications. Due to their virtual nature, they can accommodate …
A collaborative telerobotics network framework with hand gesture interface and conflict prevention
Hand gesture control is an efficient modality for telerobot control because of gesture
expressiveness and naturalness. This paper discusses a collaborative cybernetic system …
expressiveness and naturalness. This paper discusses a collaborative cybernetic system …
Radar-Based Gesture Recognition Using Gaussian Mixture Variational Autoencoder
Radar-based gesture recognition serves as an intuitive alternative to conventional click and
touch-based humanmachine interfaces. Current deep learning methods in this domain …
touch-based humanmachine interfaces. Current deep learning methods in this domain …
An Adaptive Learning Method for Sign Language Detection
AV Sriharsha, K Anusha, B Naveen… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Advancements in hand gesture recognition technology are transforming the way we interact
with computers, manipulate objects in virtual worlds, and communicate using hand gestures …
with computers, manipulate objects in virtual worlds, and communicate using hand gestures …