Vision-based human action recognition: An overview and real world challenges

I Jegham, AB Khalifa, I Alouani, MA Mahjoub - Forensic Science …, 2020 - Elsevier
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 …

Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions

NM Bhiri, S Ameur, I Alouani, MA Mahjoub… - Expert Systems with …, 2023 - Elsevier
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 …

A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with leap motion

S Ameur, AB Khalifa, MS Bouhlel - Entertainment Computing, 2020 - Elsevier
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 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 …

A novel public dataset for multimodal multiview and multispectral driver distraction analysis: 3MDAD

I Jegham, AB Khalifa, I Alouani, MA Mahjoub - Signal Processing: Image …, 2020 - Elsevier
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 …

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 …

Mdad: A multimodal and multiview in-vehicle driver action dataset

I Jegham, A Ben Khalifa, I Alouani… - Computer Analysis of …, 2019 - Springer
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 …

3d dynamic hand gestures recognition using the leap motion sensor and convolutional neural networks

K Lupinetti, A Ranieri, F Giannini, M Monti - International conference on …, 2020 - Springer
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 …

An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems

LIB López, ÁLV Caraguay, VH Vimos, JA Zea… - Sensors, 2020 - mdpi.com
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
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

S Ameur, AB Khalifa, MS Bouhlel - Journal of Visual Communication and …, 2020 - Elsevier
Abstract Recently, Hand-Gesture-Recognition (HGR) systems has appreciably change the
way of interaction between humans and computers thanks to advanced sensor technologies …