Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking.

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On Inertial Body Tracking in the Presence of Model Calibration Errors.How Magnetic Disturbance Influences the Attitude and Heading in Magnetic and Inertial Sensor-Based Orientation Estimation.IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning.

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P2860

Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking.

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2016 nî lūn-bûn

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2016年論文

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Assessing the Performance of S ...... ial-Based Human Body Tracking.

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Assessing the Performance of S ...... ial-Based Human Body Tracking.

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Assessing the Performance of S ...... ial-Based Human Body Tracking.

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Assessing the Performance of S ...... ial-Based Human Body Tracking.

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Assessing the Performance of S ...... ial-Based Human Body Tracking.

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Assessing the Performance of S ...... tial-Based Human Body Tracking

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Angelo Maria Sabatini

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Aurelio Cappozzo

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Elena Bergamini

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Gabriele Ligorio

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Ilaria Pasciuto

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P2860

Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: accuracy assessment in manual and locomotion tasks.

Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing.

A Simulation Environment for Benchmarking Sensor Fusion-Based Pose Estimators.

Detecting Elementary Arm Movements by Tracking Upper Limb Joint Angles With MARG Sensors.

A novel method for assessing the 3-D orientation accuracy of inertial/magnetic sensors.

Estimation of IMU and MARG orientation using a gradient descent algorithm.

An effortless procedure to align the local frame of an inertial measurement unit to the local frame of another motion capture system.

An Introduction to Inertial and Visual Sensing

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scholarly article

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10.3390/S16020153

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English

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Giuseppe Vannozzi

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2016-01-26T00:00:00Z

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292072578

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Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking.

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P2860

P2860

Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking.

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