Closing the Wearable Gap&#x2013;Part IX: Validation of an Improved Ankle Motion Capture Wearable

Will Carroll; Alana Turner; Purva Talegaonkar; Erin Parker; J. Carver Middleton; Preston Peranich; David Saucier; Reuben F. Burch; John E. Ball; Brian K. Smith; Harish Chander; Adam C. Knight; Charles E. Freeman

doi:10.1109/ACCESS.2021.3102880

IEEE Access (Jan 2021)

Closing the Wearable Gap–Part IX: Validation of an Improved Ankle Motion Capture Wearable

Will Carroll,
Alana Turner,
Purva Talegaonkar,
Erin Parker,
J. Carver Middleton,
Preston Peranich,
David Saucier,
Reuben F. Burch,
John E. Ball,
Brian K. Smith,
Harish Chander,
Adam C. Knight,
Charles E. Freeman

Affiliations

Will Carroll: ORCiD; Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA
Alana Turner: Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA
Purva Talegaonkar: Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA
Erin Parker: Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA
J. Carver Middleton: Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA
Preston Peranich: Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA
David Saucier: ORCiD; Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS, USA
Reuben F. Burch: Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA
John E. Ball: ORCiD; Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA
Brian K. Smith: Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA
Harish Chander: Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA
Adam C. Knight: Department of Kinesiology, Mississippi State University, Mississippi State, MS, USA
Charles E. Freeman: School of Human Sciences, Mississippi State University, Mississippi State, MS, USA

DOI: https://doi.org/10.1109/ACCESS.2021.3102880
Journal volume & issue: Vol. 9
pp. 114022 – 114036

Abstract

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Soft robotic sensors, a class of pliable, embeddable sensors, are well-suited for applications in wearable technology because of their ease of integration with common clothing articles. The suitability of soft robotic sensors for estimation of human joint angles has been proven; this research represents another step towards development of a reliable laboratory data collection platform for the human ankle joint complex. In this research, the accuracy and repeatability of a newly-developed wearable prototype are evaluated as a potential replacement for camera-based motion capture by measuring differences between simultaneously collected motion capture and stretch sensor data. The accuracy of these measurements is compared to measurements collected using a previous prototype for validation. Results show that the newly-developed prototype is capable of joint angle estimation within 1.86° mean-absolute-error during complex, dynamic movements and that wearing shoes over the sock prototype does not significantly degrade performance.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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