19 papers · ranked by Valyu relevance
Steffi L. Colyer, Murray Evans, Darren P. Cosker, Aki I. T. Salo
Background The study of human movement within sports biomechanics and rehabilitation settings has made considerable progress over recent decades. However, developing a motion analysis system that collects accurate kinematic data in a timely, unobtrusive and externally valid manner remains an open challenge. Main body…
Tomasz Krzeszowski, Adam Switonski, Michal Kepski, Carlos T. Calafate
'Carlos T. Calafate'] Currently, the analysis of human motion is one of the most interesting and active research topics in computer science, especially in computer vision. The great interest in this area is due to the wide range of promising applications in many fields, such as medicine, surveillance systems, sports…
Qifei Wang
—This paper summarizes the recent progress in human motion analysis and its applications. In the beginning, we reviewed the motion capture systems and the representation model of humans motion data. Next, we sketched the advanced human motion data processing technologies, including motion data filtering, temporal…
Lars Mündermann, Stefano Corazza, Thomas P Andriacchi
Over the centuries the evolution of methods for the capture of human movement has been motivated by the need for new information on the characteristics of normal and pathological human movement. This study was motivated in part by the need of new clinical approaches for the treatment and prevention of diseases that are…
Logan Wade, Laurie Needham, Polly McGuigan, James Bilzon + 1 more
'Songning Zhang'] Background Markerless motion capture has the potential to perform movement analysis with reduced data collection and processing time compared to marker-based methods. This technology is now starting to be applied for clinical and rehabilitation applications and therefore it is crucial that users of…
Christina Zong-Hao Ma, Zhengrong Li, Chen He
Motion patterns in humans have been closely associated with neurological/musculoskeletal/behavioral/psychological health issues and competitive sports performance. Recent decades have witnessed the development of a number of motion capture and analysis techniques to assist professionals in quantitatively evaluating…
Megan R. Ebers, Mackenzie Pitts, J. Nathan Kutz, Katherine M. Steele
Advances in deep learning and sparse sensing have emerged as powerful tools for monitoring human motion in natural environments. We develop a deep learning architecture, constructed from a shallow recurrent decoder network, that expands human motion data by mapping a limited (sparse) number of sensors to a…
Geetanjali Kale, Varsha Patil
Vision based human motion recognition has fascinated many researchers due to its critical challenges and a variety of applications. The applications range from simple gesture recognition to complicated behaviour understanding in surveillance system. This leads to major development in the techniques related to human…
Ahmed Nabil Mohamed
Human motion analysis and understanding has been, and is still, the focus of attention of many disciplines which is considered an obvious indicator of the wide and massive importance of the subject. The purpose of this article is to shed some light on this very important subject, so it can be a good insight for a…
Christian Tamantini, Francesca Cordella, Clemente Lauretti, Loredana Zollo + 1 more
'Loredana Zollo' 'Kevin Bell'] This paper wants to stress the importance of human movement monitoring to prevent musculoskeletal disorders by proposing the WGD-Working Gesture Dataset, a publicly available dataset of assembly line working gestures that aims to be used for worker’s kinematic analysis. It contains…
Philipp Barzyk, Philip Zimmermann, Manuel Stein, Daniel Keim + 1 more
Recently, AI-driven skeleton reconstruction tools that use multistage computer vision pipelines were designed to estimate 3D kinematics from 2D video sequences. In the present study, we validated a novel markerless, smartphone video-based artificial intelligence (AI) motion capture system for hip, knee, and ankle…
Emahnuel Troisi Lopez, Roberta Minino, Mario De Luca, Francesco Tafuri + 3 more
automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific, characteristics that would enhance generalization and adaptability. Previous studies on motion…
Laurie Needham, Murray Evans, Darren P. Cosker, Logan Wade + 3 more
Human movement researchers are often restricted to laboratory environments and data capture techniques that are time and/or resource intensive. Markerless pose estimation algorithms show great potential to facilitate large scale movement studies ‘in the wild’, i.e., outside of the constraints imposed by marker-based…
Lijia Liu, Joseph L. Cooper, Dana H. Ballard
Measurements of human activity are useful for studying the neural computations underlying human behavior. Dynamic models of human behavior also support clinical efforts to analyze, rehabilitate, and predict movements. They are used in biomechanics to understand and diagnose motor pathologies, find new motor strategies…
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti
Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-based Motion Capture systems due to the ease of setup, portability, and affordable cost of the technology. However, the exploitation of HPE in…
Ke Song, Todd J. Hullfish, Rodrigo Scattone Silva, Karin Grävare Silbernagel + 1 more
Motion analysis is essential for assessing in-vivo human biomechanics. Marker-based motion capture is the standard to analyze human motion, but the inherent inaccuracy and practical challenges limit its utility in large-scale and real-world applications. Markerless motion capture has shown promise to overcome these…
Anna Sebernegg, Peter Kán, Hannes Kaufmann
The analysis of human motion opens up a wide range of possibilities, such as realistic training simulations or authentic motions in robotics or animation. One of the problems underlying motion analysis is the meaningful comparison of actions based on similarity measures. Since the motion analysis is…
Naama Aharony, Amir Meshurer, Maya Krakovski, Yisrael Parmet + 2 more
Skeleton tracking is a valuable tool for monitoring user performance and has been performed with different sensors and software tools. It enables to quantify 3D motion accurately. We present a comparative analysis of cameras and software tools utilized in skeleton tracking. We describe an experimental design and…
Marta Poyo Solanas, Maarten Vaessen, Beatrice de Gelder
Humans and other primate species are experts at recognizing affective information from body movements but the underlying brain mechanisms are still largely unknown. Previous research focusing on the brain representation of symbolic emotion categories has led to mixed results. This study used representational similarity…