Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions
In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …
has been observed. Thus, significant progress has been made in the field of hand detection …
A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with leap motion
Due to the recent development of machine learning and sensor innovations, hand gesture
recognition systems become promising for the digital entertainment field. In this paper, we …
recognition systems become promising for the digital entertainment field. In this paper, we …
Recognition of American sign language gestures in a virtual reality using leap motion
A Vaitkevičius, M Taroza, T Blažauskas… - Applied Sciences, 2019 - mdpi.com
Featured Application We describe a system that uses a Leap Motion device to recognize the
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
gestures performed by users while immersed in a Virtual Reality (VR). The developed …
A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD
Driver distraction and fatigue have become one of the leading causes of severe traffic
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …
accidents. Hence, driver inattention monitoring systems are crucial. Even with the growing …
Hand gesture recognition using machine learning and infrared information: a systematic literature review
RE Nogales, ME Benalcázar - International Journal of Machine Learning …, 2021 - Springer
Currently, gesture recognition is like a problem of feature extraction and pattern recognition,
in which a movement is labeling as belonging to a given class. A gesture recognition …
in which a movement is labeling as belonging to a given class. A gesture recognition …
Mdad: A multimodal and multiview in-vehicle driver action dataset
Abstract “Driver's distraction is deadly!”. Due to its crucial role in saving lives, driver action
recognition is an important and trending topic in the field of computer vision. However, a very …
recognition is an important and trending topic in the field of computer vision. However, a very …
3d dynamic hand gestures recognition using the leap motion sensor and convolutional neural networks
Defining methods for the automatic understanding of gestures is of paramount importance in
many application contexts and in Virtual Reality applications for creating more natural and …
many application contexts and in Virtual Reality applications for creating more natural and …
An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
sensors are currently largely used over other HGR technologies. However, bracelets are …
sensors are currently largely used over other HGR technologies. However, bracelets are …
Chronological pattern indexing: An efficient feature extraction method for hand gesture recognition with leap motion
Abstract Recently, Hand-Gesture-Recognition (HGR) systems has appreciably change the
way of interaction between humans and computers thanks to advanced sensor technologies …
way of interaction between humans and computers thanks to advanced sensor technologies …