Results 41 to 50 of about 9,632 (295)
Deep-Learning Methods for Hand-Gesture Recognition Using Ultra-Wideband Radar
IEEE Access, 2020 Using deep-learning techniques for analyzing radar signatures has opened new possibilities in the field of smart-sensing, especially in the applications of hand-gesture recognition.
Sruthy Skaria +2 more
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Gesture interaction in virtual reality
Virtual Reality & Intelligent Hardware, 2019 With the development of virtual reality (VR) and human-computer interaction technology, how to use natural and efficient interaction methods in the virtual environment has become a hot topic of research. Gesture is one of the most important communication
Yang LI +4 more
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Multimodal Hand Gesture Classification for the Human–Car Interaction [PDF]
Informatics, 2020 The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported the development of Natural User Interfaces (NUIs) in which the interaction is carried without the use of physical devices such as keyboards and mouse. In this paper, we propose a NUI based on dynamic hand gestures, acquired with RGB, depth and infrared sensors.
Andrea D’Eusanio +5 more
openaire +2 more sources
Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors
IEEE Access, 2019 Radar sensing technologies now offer new opportunities for gesturally interacting with a smart environment by capturing microgestures via a chip that is embedded in a wearable device, such as a smartwatch, a finger or a ring.
Nathan Magrofuoco +4 more
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DACTYL ALPHABET GESTURE RECOGNITION IN A VIDEO SEQUENCE USING MICROSOFT KINECT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 This paper presents an efficient framework for solving the problem of static gesture recognition based on data obtained from the web cameras and depth sensor Kinect (RGB-D - data). Each gesture given by a pair of images: color image and depth map.
S. G. Artyukhin, L. M. Mestetskiy
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IEEE AccessAdding dynamic gesture recognition to the new interactive teaching system is of great significance to improve the teaching efficiency. However, the features extracted by traditional dynamic gesture recognition methods are usually difficult to accurately ...
Li Jiashan, Li Zhonghua
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Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network
Sensors, 2020 As an important research direction of human–computer interaction technology, gesture recognition is the key to realizing sign language translation. To improve the accuracy of gesture recognition, a new gesture recognition method based on four channel ...
Wenguo Li +3 more
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TY-Net: Transforming YOLO for Hand Gesture Recognition
IEEE Access, 2023 Hand gesture recognition is a rapidly expanding field with diverse applications, and the use of skeleton-based methods is gaining popularity due to their potential for lightweight execution on embedded devices.
Zorana Dozdor +3 more
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IEEE AccessThe integration of electromyography (EMG) signals into biometric recognition has garnered significant attention due to their potential for highly secure and reliable identification.
Berke Cansiz +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source