Upper limb motion tracking with the integration of IMU and Kinect

Kalman Filtering and Neural Networks

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Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking

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Novel quaternion Kalman filter

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A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes

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Towards Pervasive Physical Rehabilitation Using Microsoft Kinect

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Improvement of Arm Movement Patterns and Endpoint Control Depends on Type of Feedback During Practice in Stroke Survivors

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Robotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery

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Joint angle estimation in rehabilitation with inertial sensors and its integration with Kinect

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Learning, Not Adaptation, Characterizes Stroke Motor Recovery: Evidence From Kinematic Changes Induced by Robot-Assisted Therapy in Trained and Untrained Task in the Same Workspace

Dipietro, L., Krebs, H. I., Volpe, B. T., Stein, J. M., Bever, C. T., Mernoff, S. T., Fasoli, S. E., & Hogan, N. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2175008 · Cited by 101 · see citing works

Estimation of Upper-Limb Orientation Based on Accelerometer and Gyroscope Measurements

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A Novel Sensing and Data Fusion System for 3-D Arm Motion Tracking in Telerehabilitation

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Relationship Between Clinical Assessments of Function and Measurements From an Upper-Limb Robotic Rehabilitation Device in Cervical Spinal Cord Injury

Zariffa, J., Kapadia, N. M., Kramer, J. L. K., Taylor, P., Alizadeh-Meghrazi, M., Zivanovic, V., Albisser, U., Willms, R., Townson, A. F., Curt, A. E. P., et al. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2181537 · Cited by 76 · see citing works

An inertial navigation system for a mobile robot

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A Novel Hierarchical Information Fusion Method for Three-Dimensional Upper Limb Motion Estimation

Zhang, Z., & Wu, J. (2011) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2011.2135070 · Cited by 69 · see citing works

WearTrack: a self-referenced head and hand tracker for wearable computers and portable VR

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Tapped-inductor filter assisted soft-switching PWM DC-DC power converter

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Incremental two-dimensional kernel principal component analysis

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A robust adaptive neural control scheme to drive an actuated orthosis for assistance of knee movements

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IMU/GPS based pedestrian localization

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StrokeTrack

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Hierarchical information fusion for human upper limb motion capture

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Non uniform Embedding based on Relevance Analysis with reduced computational complexity: Application to the detection of pathologies from biosignal recordings

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A motion detection model inspired by hippocampal function and its applications to obstacle detection

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Normalized estimate of adaptive filter for non-minimum phase transfer function component: An illustrative case study

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A survey of depth and inertial sensor fusion for human action recognition

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Motion capture sensing techniques used in human upper limb motion: a review

Yahya, M., Shah, J. A., Kadir, K. A., Yusof, Z. M., Khan, S., & Warsi, A. (2019) · Sensor Review · doi:10.1108/sr-10-2018-0270 · Cited by 82 · see citing works

Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants

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The application of federated Kalman filtering in the information fusion technique

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Kalman Filtering Based on Data Fusion Theory

Li, Y. (2010)

Sensor Fusion of Gaussian Mixtures for Ballistic Target Tracking in the Re-Entry Phase

Lu, K., & Zhou, R. (2016) · Sensors · doi:10.3390/s16081289 · Cited by 6 · see citing works

Some remarks on Kalman filters for the multisensor fusion

Gao, J., & Harris, C. J. (2002) · Information Fusion · doi:10.1016/s1566-2535(02)00070-2 · Cited by 179 · see citing works

A Comparative Study of Different Kalman Filtering Methods in Multi Sensor Data Fusion

Sadegh, M. K., & Nazar, M. (2009) · Cited by 4 · see citing works