AIMC Topic: Motion Capture

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Predicting Free Achilles Tendon Strain From Motion Capture Data Using Artificial Intelligence.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The Achilles tendon (AT) is sensitive to mechanical loading, with appropriate strain improving tissue mechanical and material properties. Estimating free AT strain is currently possible through personalized neuromusculoskeletal (NMSK) modeling; howev...

Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT).

Sensors (Basel, Switzerland)
Distinguishing pathological gait is challenging in neurology because of the difficulty of capturing total body movement and its analysis. We aimed to obtain a convenient recording with an iPhone and establish an algorithm based on deep learning. From...

Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson's disease.

Journal of biomechanics
Markerless motion capture methods are continuously in development to target limitations encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the KinaTrax markerless system was limited by differences in model definitions, ga...

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.

Journal of neuroengineering and rehabilitation
BACKGROUND: Markerless motion capture (MMC) technology has been developed to avoid the need for body marker placement during motion tracking and analysis of human movement. Although researchers have long proposed the use of MMC technology in clinical...

Towards Single Camera Human 3D-Kinematics.

Sensors (Basel, Switzerland)
Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple de-coupled steps t...

Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark.

Sensors (Basel, Switzerland)
Human pose estimation has a variety of real-life applications, including human action recognition, AI-powered personal trainers, robotics, motion capture and augmented reality, gaming, and video surveillance. However, most current human pose estimati...

A Benchmark Comparison of Four Off-the-Shelf Proprietary Visual-Inertial Odometry Systems.

Sensors (Basel, Switzerland)
Commercial visual-inertial odometry (VIO) systems have been gaining attention as cost-effective, off-the-shelf, six-degree-of-freedom (6-DoF) ego-motion-tracking sensors for estimating accurate and consistent camera pose data, in addition to their ab...

Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot.

Sensors (Basel, Switzerland)
Regardless of recent advances, humanoid robots still face significant difficulties in performing locomotion tasks. Among the key challenges that must be addressed to achieve robust bipedal locomotion are dynamically consistent motion planning, feedba...

Design and Evaluation of an Omnidirectional Wheel-Driven Endoscope-Assisted Robotic System Based on Motion Capture Control.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In endoscopic surgery, surgeons collaborate with assistants to manipulate the endoscope and instruments, making it impossible to perform the surgery independently.

Research on acupuncture robots based on the OptiTrack motion capture system and a robotic arm.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
OBJECTIVE: To propose an automatic acupuncture robot system for performing acupuncture operations.