ArticleSensors (Basel, Switzerland)2019
Magnetometer-Based Drift Correction During Rest inIMU Arm Motion Tracking.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled it
- Reward During Arm Training Improves Impairment and Activity After Stroke: A Randomized Controlled Trial.Neurorehabilitation and neural repair · 2022Trial
- Design Guidelines for a Game-Based Physical Rehabilitation System: Focus Group Study.JMIR human factors · 2025Article
- Squat Kinematics Analysis Using Vicon and Affordable Motion-Capture Solutions.Sensors (Basel, Switzerland) · 2025Article
- NONAN GaitPrint: An IMU gait database of healthy older adults.Scientific data · 2025Article
- Systematic review of machine learning applications using nonoptical motion tracking in surgery.NPJ digital medicine · 2025Article
- Intelligence Sparse Sensor Network for Automatic Early Evaluation of General Movements in Infants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance.Scientific data · 2024Article
- Adaptive Lifting Index (Sensors (Basel, Switzerland) · 2024Article
- NONAN GaitPrint: An IMU gait database of healthy young adults.Scientific data · 2023Article
- Reliability of a Wearable Motion Tracking System for the Clinical Evaluation of a Dynamic Cervical Spine Function.Sensors (Basel, Switzerland) · 2023Article
- The Performance of Inertial Measurement Unit Sensors on Various Hardware Platforms for Binaural Head-Tracking Applications.Sensors (Basel, Switzerland) · 2023Article
- Tibial bone forces can be monitored using shoe-worn wearable sensors during running.Journal of sports sciences · 2022Article
- Test-Retest Reliability of Kinematic and Temporal Outcome Measures for Clinical Gait and Stair Walking Tests, Based on Wearable Inertial Sensors.Sensors (Basel, Switzerland) · 2022Article
- Shape Sensing of Hyper-Redundant Robots Using an AHRS IMU Sensor Network.Sensors (Basel, Switzerland) · 2022Article
- Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar.Sensors (Basel, Switzerland) · 2021Article
- Error Analysis of Accelerometer- and Magnetometer-Based Stationary Alignment.Sensors (Basel, Switzerland) · 2021Article
- Challenges and solutions for application and wider adoption of wearable robots.Wearable technologies · 2021Review
- Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration.Frontiers in robotics and AI · 2021Article
- Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy using FBG Strain Sensor.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Real-time motion capture of the human arm in the home environment has many usecases, such as video game and therapy applications. The required tracking can be based onoff-the-shelf Inertial Measurement Units (IMUs) with integrated three-axis accelerometers, gyroscopes,and magnetometers. However, this usually requires a homogeneous magnetic field to correctfor orientation drift, which is often not available inside buildings. In this paper, RPMC (RestPose Magnetometer-based drift Correction), a novel method that is robust to long term drift inenvironments with inhomogeneous magnetic fields, is presented. The sensor orientation is estimatedby integrating the angular velocity measured by the gyroscope and correcting drift around the pitchand roll axes with the acceleration information. This commonly leads to short term drift aroundthe gravitational axis. Here, during the calibration phase, the local magnetic field direction for eachsensor, and its orientation relative to the inertial frame, are recorded in a rest pose. It is assumed thatarm movements in free space are exhausting and require regular rest. A set of rules is used to detectwhen the user has returned to the rest pose, to then correct for the drift that has occurred with themagnetometer. Optical validations demonstrated accurate (root mean square error RMS = 6.1), lowlatency (61 ms) tracking of the user's wrist orientation, in real time, for a full hour of arm movements.The reduction in error relative to three alternative methods implemented for comparison was between82.5% and 90.7% for the same movement and environment. Therefore, the proposed arm trackingmethod allows for the correction of orientation drift in an inhomogeneous magnetic field by exploitingthe user's need for frequent rest.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.