A Data-based Approach to Simultaneously Align Local and Global Frames between an Inertial Measurement Unit (IMU) and an Optical Motion Capture System

Jin, Yichu; Zhou, Yu; McCann, Connor M.; Proietti, Tommaso; Rycroft, Chris H.; Walsh, Conor J.

doi:10.1109/biorob52689.2022.9925393

2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) 2022

DOI: 10.1109/biorob52689.2022.9925393

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A Data-based Approach to Simultaneously Align Local and Global Frames between an Inertial Measurement Unit (IMU) and an Optical Motion Capture System

Yichu Jin¹,

Yu Zhou²,

Connor M. McCann³

et al.

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2024

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Cited by 2 publications

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Estimation of joint torque in dynamic activities using wearable A-mode ultrasound

Jin,

Alvarez,

Suitor

et al. 2024

Nat Commun

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The human body constantly experiences mechanical loading. However, quantifying internal loads within the musculoskeletal system remains challenging, especially during unconstrained dynamic activities. Conventional measures are constrained to laboratory settings, and existing wearable approaches lack muscle specificity or validation during dynamic movement. Here, we present a strategy for estimating corresponding joint torque from muscles with different architectures during various dynamic activities using wearable A-mode ultrasound. We first introduce a method to track changes in muscle thickness using single-element ultrasonic transducers. We then estimate elbow and knee torque with errors less than 7.6% and coefficients of determination (R2) greater than 0.92 during controlled isokinetic contractions. Finally, we demonstrate wearable joint torque estimation during dynamic real-world tasks, including weightlifting, cycling, and both treadmill and outdoor locomotion. The capability to assess joint torque during unconstrained real-world activities can provide new insights into muscle function and movement biomechanics, with potential applications in injury prevention and rehabilitation.

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Estimation of joint torque in dynamic activities using wearable A-mode ultrasound

Jin,

Alvarez,

Suitor

et al. 2024

Nat Commun

View full text Add to dashboard Cite

show abstract

Multikernel Correntropy-Based Orientation Estimation of IMUs: Gradient Descent Methods

Li,

Shi

et al. 2024

IEEE Trans. Instrum. Meas.

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A Data-based Approach to Simultaneously Align Local and Global Frames between an Inertial Measurement Unit (IMU) and an Optical Motion Capture System

Cited by 2 publications

References 30 publications

Estimation of joint torque in dynamic activities using wearable A-mode ultrasound

Estimation of joint torque in dynamic activities using wearable A-mode ultrasound

Multikernel Correntropy-Based Orientation Estimation of IMUs: Gradient Descent Methods

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