Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing

By Angelo Maria Sabatini. Italian National Conference on Sensors, 2011

347 citations recorded by the source corpus.

User-worn sensing units composed of inertial and magnetic sensors are becoming increasingly popular in various domains, including biomedical engineering, robotics, virtual reality, where they can also be applied for real-time tracking of the orientation of human body parts in the three-dimensional (3D) space. Although they are a promising choice as wearable sensors under many respects, the inertial and magnetic sensors currently in use offer measuring performance that are critical in order to achieve and maintain accurate 3D-orientation estimates, anytime and anywhere. This paper reviews the main sensor fusion and filtering techniques proposed for accurate inertial/magnetic orientation tracking of human body parts; it also gives useful recipes for their actual implementation.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/eda5e77ec5e77ae5789f76b3811cb51a285e611c

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Citations in the corpus

Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review (2018, methodology): “For these reasons, model-based approaches are often required [40] and the accurate estimation of linear position from MIMUs still represents a challenging and time-consuming exercise [21,26].”
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, background): “Sabatini in [28] proposes a review of (m)IMU-based tracking systems for 3D attitude estimation focusing on the technical aspects of IHMT methods.”
IMU-Based Joint Angle Measurement for Gait Analysis (2014, background): “A number of algorithms have been proposed for sensor orientation estimation [2].”