AIMC Topic: Motion Capture

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

Journal of neuroengineering and rehabilitation May 2, 2023
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...
Motion Movement Biomechanical Phenomena Motion Capture Humans Technology Artificial Intelligence
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Towards Single Camera Human 3D-Kinematics.

Sensors (Basel, Switzerland) Dec 28, 2022
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...
Biomechanical Phenomena Neural Networks, Computer Humans Motion Capture Algorithms
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Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark.

Sensors (Basel, Switzerland) Dec 22, 2022
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...
Posture Motion Capture Humans Robotics Algorithms Benchmarking
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A Benchmark Comparison of Four Off-the-Shelf Proprietary Visual-Inertial Odometry Systems.

Sensors (Basel, Switzerland) Dec 15, 2022
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...
Robotics Motion Capture Motion
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Experimental Investigations into Using Motion Capture State Feedback for Real-Time Control of a Humanoid Robot.

Sensors (Basel, Switzerland) Dec 15, 2022
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...
Robotics Motion Walking Feedback Locomotion Motion Capture
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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 Jun 1, 2025
BACKGROUND: In endoscopic surgery, surgeons collaborate with assistants to manipulate the endoscope and instruments, making it impossible to perform the surgery independently.
Endoscopes Equipment Design Humans Motion Capture Robotic Surgical Procedures Animals Robotics Endoscopy Motion Surgery, Computer-Assisted
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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 Feb 1, 2025
OBJECTIVE: To propose an automatic acupuncture robot system for performing acupuncture operations.
Robotics Motion Humans Acupuncture Points Motion Capture Acupuncture Therapy
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Is low-cost motion capture with artificial intelligence applicable for human working posture risk assessment during manual material handling? A pilot study.

Work (Reading, Mass.) Jan 1, 2023
BACKGROUND: Assessing working posture risks is important for occupational safety and health. However, low-cost assessment techniques for human motion injuries in the logistics delivery industry have rarely been reported.
Occupational Diseases Motion Capture Ergonomics Risk Assessment Artificial Intelligence Posture Pilot Projects Humans
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