Results 51 to 60 of about 8,360 (202)
Kinematic parameters of throwing performance in patients with schizophrenia using a markerless motion capture system [PDF]
Motor dysfunction is consistently reported but understudied in schizophrenia. It has been hypothesized that this abnormality may reflect a neuro-developmental disorder underlying this illness.
Campos, Carlos +5 more
core +2 more sources
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
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 +7 more
wiley +1 more source
Real-Time Human Motion Capture with Multiple Depth Cameras
Commonly used human motion capture systems require intrusive attachment of markers that are visually tracked with multiple cameras. In this work we present an efficient and inexpensive solution to markerless motion capture using only a few Kinect sensors.
Little, James J., Shafaei, Alireza
core +1 more source
Evaluation of Upper Extremity Movement Characteristics during Standardized Pediatric Functional Assessment with a Kinect®-based Markerless Motion Analysis System [PDF]
A recently developed and evaluated upper extremity (UE) markerless motion analysis system based on the Microsoft® Kinect® has potential for improving functional assessment of patients with hemiplegic cerebral palsy.
Harris, Gerald F. +3 more
core +2 more sources
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key +4 more
wiley +1 more source
Abstract Purpose Modern personalised total knee arthroplasty (TKA) techniques aim to mimic natural knee kinematics by focusing on soft‐tissue dynamics rather than static alignment. However, a consistent definition of the optimal ligamentous balance has not yet been established.
Michael Engl +9 more
wiley +1 more source
Markerless Motion Capture and Biomechanical Analysis Pipeline
Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis. This could greatly benefit rehabilitation by enabling more accurate tracking of outcomes and providing more sensitive tools for research.
Cotton, R. James +7 more
openaire +2 more sources
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro +12 more
wiley +1 more source
Biomechanics analysis of human movement has been proven useful for maintenance of health, injury prevention, and rehabilitation in both sports and clinical populations.
Kishor Das +2 more
doaj +1 more source
Reachable Workspace as a Clinical Outcome for Upper Extremity Function: A Narrative Review
ABSTRACT Motion sensing technology can be utilized to capture detailed upper extremity (UE) motion to reconstruct an individual's three‐dimensional (3D) reachable workspace (RWS). The RWS can be quantified as relative surface area (RSA), providing an innovative surrogate measure to assess UE mobility and function.
Jay J. Han +3 more
wiley +1 more source

