Results 51 to 60 of about 13,791 (206)

Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera

Sensors, 2023
Accuracy validation of gait analysis using pose estimation with artificial intelligence (AI) remains inadequate, particularly in objective assessments of absolute error and similarity of waveform patterns.
Takumi Ino, Mina Samukawa, Tomoya Ishida, Naofumi Wada, Yuta Koshino, Satoshi Kasahara, Harukazu Tohyama   +6 more
doaj   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Differences between lower extremity joint running kinetics captured by marker-based and markerless systems were speed dependent

Journal of Sport and Health Science
Background: The development of computer vision technology has enabled the use of markerless movement tracking for biomechanical analysis. Recent research has reported the feasibility of markerless systems in motion analysis but has yet to fully explore ...
Hui Tang, Barry Munkasy, Li Li
doaj   +1 more source

Characterization of Infants’ General Movements Using a Commercial RGB-Depth Sensor and a Deep Neural Network Tracking Processing Tool: An Exploratory Study

Sensors, 2022
Cerebral palsy, the most common childhood neuromotor disorder, is often diagnosed through visual assessment of general movements (GM) in infancy. This skill requires extensive training and is thus difficult to implement on a large scale.
Diletta Balta, HsinHung Kuo, Jing Wang, Ilaria Giuseppina Porco, Olga Morozova, Manon Maitland Schladen, Andrea Cereatti, Peter Stanley Lum, Ugo Della Croce   +8 more
doaj   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Validation of a handheld smartphone markerless method for quantifying thoracolumbar flexion–extension range of motion in horses at trot

Equine Veterinary Journal, EarlyView.
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen, Karsten Key   +5 more
wiley   +1 more source

Impact of Running Clothes on Accuracy of Smartphone-Based 2D Joint Kinematic Assessment During Treadmill Running Using OpenPifPaf

Sensors
The assessment of running kinematics is essential for injury prevention and rehabilitation, including anterior cruciate ligament sprains. Recent advances in computer vision have enabled the development of tools for quantifying kinematics in research and ...
Nicolas Lambricht, Alexandre Englebert, Anh Phong Nguyen, Paul Fisette, Laurent Pitance, Christine Detrembleur   +5 more
doaj   +1 more source

Context‐aware machine learning for lameness side and severity prediction in trotting horses: A proof‐of‐concept study

Equine Veterinary Journal, EarlyView.
Abstract Background In clinical practice, lameness evaluation often relies on visual assessment under different examination conditions, including ground and figures, and remains subjective. Although objective symmetry indices provide quantitative measures of gait asymmetry, their interpretation across multiple conditions remains challenging because ...
Mahaut Gérard, Sandrine Hanne‐Poujade, Guillaume Dubois, Camille Hébert, Virginie Coudry, Sandrine Jacquet, Lélia Bertoni, Amélie Tallaj, Neila Mezghani, Henry Chateau   +9 more
wiley   +1 more source

2D Markerless Gait Analysis

, 2008
We present a 2D gait analysis system which is completely markerless and extracts kinematic information by analyzing video sequences obtained from an RGB video camera.
Goffredo, Michela, Nixon, Mark, Carter, John   +2 more
core   +1 more source

Validation of a novel instrumented hoof boot with pressure sensors using force plate gait kinetics in horses at walk and trot

Equine Veterinary Journal, EarlyView.
Abstract Background Force plates (FP) are considered the gold standard for quantitative equine gait evaluation but are limited to experimental use. An instrumented hoof boot (IHB) with pressure sensors and an inertial measurement unit would allow clinicians to objectively assess kinetic parameters and gait symmetry.
Jasmin Keller, Max J. Hassenstein, Klaus Jung, Florian Geburek   +3 more
wiley   +1 more source