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Implementation of an Inertial Measurement Unit based motion capture system

2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2011
Nowadays, due to its broad applications, demands on motion capture technology is increasing. Inertial Measurement Unit (IMU) is one of technology that is capable of estimating orientation of a rigid body. IMU technology uses information from three sensors, i.e. gyroscope, accelerometer and magnetometer to calculate the orientation.
Iman Prayudi   +3 more
openaire   +1 more source

Motion capture from inertial sensing for untethered humanoid teleoperation

4th IEEE/RAS International Conference on Humanoid Robots, 2004., 2005
We describe the design of a modular system for untethered real-time kinematic motion capture using sensors with inertial measuring units (IMU). Our system is comprised of a set of small and lightweight sensors. Each sensor provides its own global orientation (3 degrees of freedom) and is physically and computationally independent, requiring only ...
Nathan Miller   +3 more
openaire   +1 more source

Modular Wireless Inertial Motion Capture System with Self-Calibration [PDF]

open access: possible2024 IEEE SENSORS
Wearable inertial motion capture systems enable movement analysis outside the laboratory, thereby promising valuable data collection in natural environments. We present an open-source motion capture system consisting of a variable number of wireless IMU sensor modules and a modular software framework providing OpenSim compatibility.
Niklas Schäfer   +7 more
openaire   +1 more source

Motion capture based identification of the human body inertial parameters

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
Identification of body inertia, masses and center of mass is an important data to simulate, monitor and understand dynamics of motion, to personalize rehabilitation programs. This paper proposes an original method to identify the inertial parameters of the human body, making use of motion capture data and contact forces measurements.
Gentiane, Venture   +2 more
openaire   +2 more sources

Differentiating horse walk and trot on the basis of inertial motion capture

2016 9th International Conference on Human System Interactions (HSI), 2016
This article describes a method for differentiating two types of horse gaits: walk and trot. Recognition of gait types is significant for different research branches. It is important in animal behavior analysis, gait and stride timing analysis, lameness detection, sports such as horse trotting and identifying opportunities for the use of horses ...
Piotr Kopniak, Krzysztof Bocian
openaire   +1 more source

Validation of a low-cost inertial motion capture system for whole-body motion analysis

Journal of Biomechanics, 2020
While some low-cost inertial motion capture (IMC) systems are now commercially available, generally, they have not been evaluated against gold standard optical motion capture (OMC). The objective was to validate the low-cost Neuron IMC system with OMC.
X. Robert-Lachaine   +4 more
openaire   +2 more sources

Usability-Optimization of Inertial Motion Capture Systems

2018
Inertial Motion Capture Systems (IMCS) have both many benefits and known disadvantages. The objective of this paper is to optimize available and current IMCS. Therefore the development guideline VDI 2221 was utilized with a focus on the preparation and calibration procedure as well as the attachment of the sensors. The analyzation revealed optimization
Philipp Pomiersky   +2 more
openaire   +1 more source

Determining anatomical frames via inertial motion capture: A survey of methods

Journal of Biomechanics, 2020
Despite the exponential growth in using inertial measurement units (IMUs) for biomechanical studies, future growth in "inertial motion capture" is stymied by a fundamental challenge - how to estimate the orientation of underlying bony anatomy using skin-mounted IMUs.
Rachel V, Vitali, Noel C, Perkins
openaire   +2 more sources

Inertial motion capture based reference trajectory generation for a mobile manipulator

Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction, 2014
This paper presents a human-robot interaction system integrating a mobile manipulator with a full-body inertial motion capture suit. The framework aims to provide an intuitive, effective and easyto-deploy teleoperation interface. User control intent is acquired by the motion capture system in real-time, processed and relayed to the mobile manipulator ...
Yerbolat Khassanov   +2 more
openaire   +1 more source

Human Motion Capture with Sparse Inertial Sensors and Video

2020
This thesis explores approaches to capture human motions with a small number of sensors. In the first part of this thesis an approach is presented that reconstructs the body pose from only six inertial sensors. Instead of relying on pre-recorded motion databases, a global optimization problem is solved to maximize the consistency of ...
openaire   +1 more source

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