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Gestures

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Hybrid Target Selections by "Hand Gestures + Facial Expression" for a Rehabilitation Robot.

Sensors (Basel, Switzerland)
In this study we propose a "hand gesture + face expression" human machine interaction technique, and apply this technique to bedridden rehabilitation robot. "Hand gesture + Facial expression" interactive technology combines the input mode of gesture ...

A multimodal user interface for touchless control of robotic ultrasound.

International journal of computer assisted radiology and surgery
PURPOSE: Past research contained the investigation and development of robotic ultrasound. In this context, interfaces which allow for interaction with the robotic system are of paramount importance. Few researchers have addressed the issue of develop...

An Underwater Human-Robot Interaction Using a Visual-Textual Model for Autonomous Underwater Vehicles.

Sensors (Basel, Switzerland)
The marine environment presents a unique set of challenges for human-robot interaction. Communicating with gestures is a common way for interacting between the diver and autonomous underwater vehicles (AUVs). However, underwater gesture recognition i...

Light-Weight Deep Learning Techniques with Advanced Processing for Real-Time Hand Gesture Recognition.

Sensors (Basel, Switzerland)
In the discipline of hand gesture and dynamic sign language recognition, deep learning approaches with high computational complexity and a wide range of parameters have been an extremely remarkable success. However, the implementation of sign languag...

Application for Recognizing Sign Language Gestures Based on an Artificial Neural Network.

Sensors (Basel, Switzerland)
This paper presents the development and implementation of an application that recognizes American Sign Language signs with the use of deep learning algorithms based on convolutional neural network architectures. The project implementation includes th...

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove.

Scientific reports
Hand gesture recognition is one of the most widely explored areas under the human-computer interaction domain. Although various modalities of hand gesture recognition have been explored in the last three decades, in recent years, due to the availabil...

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks.

Sensors (Basel, Switzerland)
Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and inertial measurement unit signals (IMUs) have been studied for different applications in recent years. Most commonly, cutting-edge HGR methods are based on supervised...

Design and Gesture Optimization of a Soft-Rigid Robotic Hand for Adaptive Grasping.

Soft robotics
Soft robotic hands are inherently safer and more compliant in robot-environment interaction than rigid manipulators, but their flexibility and versatility still need improving. In this article, a gesture adaptive soft-rigid robotic hand is proposed. ...

Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms.

Proceedings of the National Academy of Sciences of the United States of America
Since their emergence a few years ago, artificial intelligence (AI)-synthesized media-so-called deep fakes-have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornog...

MSFF-Net: Multi-Stream Feature Fusion Network for surface electromyography gesture recognition.

PloS one
In the field of surface electromyography (sEMG) gesture recognition, how to improve recognition accuracy has been a research hotspot. The rapid development of deep learning provides a new solution to this problem. At present, the main applications of...