Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing

This paper presents a retrospective of the benchmark testing methodologies developed and accumulated into the stretch sensor tool kit (SSTK) by the research team during the Closing the Wearable Gap series of studies. The techniques developed to validate stretchable soft robotic sensors (SRS) as a me...

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Veröffentlicht in:Electronics (Basel) 2020-09, Vol.9 (9), p.1457
Hauptverfasser: Talegaonkar, Purva, Saucier, David, Carroll, Will, Peranich, Preston, Parker, Erin, Middleton, Carver, Davarzani, Samaneh, Turner, Alana, Persons, Karen, Casey, Landon, Burch V, Reuben F., Ball, John E., Chander, Harish, Knight, Adam, Luczak, Tony, Smith, Brian K., Prabhu, R. K.
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container_end_page
container_issue 9
container_start_page 1457
container_title Electronics (Basel)
container_volume 9
creator Talegaonkar, Purva
Saucier, David
Carroll, Will
Peranich, Preston
Parker, Erin
Middleton, Carver
Davarzani, Samaneh
Turner, Alana
Persons, Karen
Casey, Landon
Burch V, Reuben F.
Ball, John E.
Chander, Harish
Knight, Adam
Luczak, Tony
Smith, Brian K.
Prabhu, R. K.
description This paper presents a retrospective of the benchmark testing methodologies developed and accumulated into the stretch sensor tool kit (SSTK) by the research team during the Closing the Wearable Gap series of studies. The techniques developed to validate stretchable soft robotic sensors (SRS) as a means for collecting human kinetic and kinematic data at the foot-ankle complex and at the wrist are reviewed. Lessons learned from past experiments are addressed, as well as what comprises the current SSTK based on what the researchers learned over the course of multiple studies. Three core components of the SSTK are featured: (a) material testing tools, (b) data analysis software, and (c) data collection devices. Results collected indicate that the stretch sensors are a viable means for predicting kinematic data based on the most recent gait analysis study conducted by the researchers (average root mean squared error or RMSE = 3.63°). With the aid of SSTK defined in this study summary and shared with the academic community on GitHub, researchers will be able to undergo more rigorous validation methodologies of SRS validation. A summary of the current state of the SSTK is detailed and includes insight into upcoming experiments that will utilize more sophisticated techniques for fatigue testing and gait analysis, utilizing SRS as the data collection solution.
doi_str_mv 10.3390/electronics9091457
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source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Ankle
Athletes
Benchmarks
Biomechanics
Coaches & managers
Data analysis
Data collection
Electronic devices
Fatigue tests
Feedback
Gait
Human mechanics
Laboratories
Motion capture
R&D
Rehabilitation
Research & development
Researchers
Robot sensors
Root-mean-square errors
Sensors
Software
Textiles
Toolkits
Wearable technology
Wrist
title Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing
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