Article
Neurosciences
Chiara Palmisano, Peter Kullmann, Ibrahem Hanafi, Marta Verrecchia, Marc Erich Latoschik, Andrea Canessa, Martin Fischbach, Ioannis Ugo Isaias
Summary: The study introduced a fully-immersive virtual reality environment to simulate gait adaptation to environmental challenges. Results showed that when facing obstacles, subjects consistently reduced stride length and velocity while increasing stride duration, with adjustments in trunk inclination and trajectory deviation facilitating obstacle avoidance. This VR paradigm could be a powerful tool for researching gait modulation in relation to aging and clinical conditions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Multidisciplinary
Magdalena Zuk, Magdalena Wojtkow, Michal Popek, Jakub Mazur, Katarzyna Bulinska
Summary: This study proposes two methods for describing lowerlimb joint kinematics using low-budget hardware accessories for VR headsets. The proposed system allows for the collection of complete kinematic data of the lower limb with comparable repeatability to advanced optoelectronic motion capture systems. The tools enable cost-effective analysis of kinematics in accordance with biomechanical research protocols and consistent with clinical practice.
Article
Chemistry, Multidisciplinary
Jaewook Kim, Yekwang Kim, Seung-Jong Kim
Summary: Current gait rehabilitation strategies heavily rely on motor learning principles, but the use of exoskeleton-type robots may deviate the gait patterns from natural gait, especially during the weight acceptance stage.
APPLIED SCIENCES-BASEL
(2022)
Article
Neurosciences
Florian Hofmann, Volker Duerr
Summary: This study investigates the kinematic adjustments during human obstacle traversal in walking and running, and finds that previous experience can transfer between the two gaits, although the transfer is not symmetrical.
EXPERIMENTAL BRAIN RESEARCH
(2022)
Article
Biotechnology & Applied Microbiology
Brian Horsak, Mark Simonlehner, Lucas Schoeffer, Bernhard Dumphart, Arian Jalaeefar, Matthias Husinsky
Summary: The study found that walking in an overground VR environment may lead to changes in gait, including slower walking speed, changes in gait dynamics and mechanics, and increased variability in lower extremity gait kinematics and spatio-temporal parameters. These changes suggest an adaptation towards a more conservative or cautious gait.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Computer Science, Software Engineering
Jann Philipp Freiwald, Susanne Schmidt, Bernhard E. Riecke, Frank Steinicke
Summary: This paper introduces the Smart Avatar system and the concept of Stuttered Locomotion to improve the interaction experience between users in shared virtual environments. The research results show that both the Smart Avatar system and Stuttered Locomotion have positive effects on the observers' spatial awareness and the moving user's comfort.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Neurosciences
Alison M. M. Williams, Maya Sato-Klemm, Emily G. Deegan, Gevorg Eginyan, Tania Lam
Summary: This study aimed to compare and characterize the activity of pelvic floor muscles (PFM) in healthy adults during walking and jogging. The results showed that PFM were active throughout the gait cycle, particularly during single-leg support. Faster speeds were associated with higher PFM activity. PFM and gluteus maximus were in phase during gait but not completely synchronized.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Geriatrics & Gerontology
Sumire D. Sato, Julia T. Choi
Summary: Healthy aging is associated with reduced corticospinal drive to leg muscles during walking, with younger adults demonstrating higher coherence in both the beta-gamma and alpha band frequencies. Slow leg TA-TA coherence in the beta-gamma band was the strongest predictor of early adaptation in double support time, while early adaptation in step length symmetry was predicted by age group alone.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Computer Science, Software Engineering
Alberto Cannavo, Davide Calandra, F. Gabriele Prattico, Valentina Gatteschi, Fabrizio Lamberti
Summary: This article introduces a novel evaluation testbed to support a comprehensive analysis of locomotion approaches in VR environments. An experimental protocol for collecting objective and subjective measures, along with a scoring system to rank approaches, is proposed. The testbed usage is illustrated in a use case for selecting a technique in a given application scenario.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Neurosciences
Jan Drewes, Sascha Feder, Wolfgang Einhaeuser
Summary: The study shows that terrain types significantly affect gaze behavior in both real-world and virtual reality settings, with some correlation with world factors. Importantly, the overall dwell time on navigational markers does not differ significantly between the two worlds.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Neurosciences
Cesar R. Castano, Lindsey D. Lee, Helen J. Huang
Summary: This study investigated how healthy young and older adults adjust their gait strategies in response to perturbations of varying unpredictability. The findings suggest that more unpredictable perturbations lead to more cautious gait strategies, which are more pronounced in older adults. Additionally, increasing unpredictability demands greater balance control and results in increased variability of step parameters.
Article
Sport Sciences
Rachel M. Koldenhoven, Abbis H. Jaffri, Alexandra F. DeJong, Mark Abel, Joseph Hart, Susan Saliba, Jay Hertel
Summary: This study aimed to analyze the effects of 4 weeks of visual gait biofeedback and impairment-based rehabilitation on individuals with chronic ankle instability. The results showed that the group receiving biofeedback had improved gait biomechanics and patient-reported outcomes, recommending the combination of impairment-based rehabilitation with visual biofeedback for individuals with CAI.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
(2021)
Article
Automation & Control Systems
Rishabh Bajpai, Deepak Joshi
Summary: This study aims to develop a neural network (foot2hip) that improves user comfort in long-term recording of gait kinematics. Foot2hip predicts ankle, knee, and hip joint angle profiles using foot kinematics and kinetics. The results show that foot2hip has encouraging prediction performance and is suitable for most clinical and personal applications.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Analytical
Zimi Sawacha, Fabiola Spolaor, Weronika Joanna Piatkowska, Federica Cibin, Alfredo Ciniglio, Annamaria Guiotto, Marco Ricca, Roberta Polli, Alessandra Murgia
Summary: The study quantitatively assessed musculoskeletal alterations in children with FXS through gait analysis, revealing consistently altered gait pattern and abnormal muscle activity. These findings could provide insights for personalized rehabilitations.
Article
Chemistry, Analytical
Michelangelo Guaitolini, Fitsum E. Petros, Antonio Prado, Angelo M. Sabatini, Sunil K. Agrawal
Summary: This study examined the accuracy and feasibility of using VIVE Virtual Reality system for gait analysis, with results showing that VR systems can accurately monitor gait while offering new perspectives for VR augmented analysis.