Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing
| Autor: | David Saucier, Karen Persons, Purva Talegaonkar, John E. Ball, Will Carroll, Alana J. Turner, Raj Prabhu, Erin Parker, Tony Luczak, Samaneh Davarzani, Carver Middleton, Preston Peranich, Brian K. Smith, Harish Chander, Adam C. Knight, Reuben F. Burch, Landon Casey |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
stretch sensors
Computer Networks and Communications Computer science sports performance Soft robotics Wearable computer lcsh:TK7800-8360 Kinematics computer.software_genre ankle joint complex 01 natural sciences 03 medical and health sciences 0302 clinical medicine Electrical and Electronic Engineering Closing (morphology) wearable sensors motion analysis 010401 analytical chemistry lcsh:Electronics 030229 sport sciences 0104 chemical sciences Hardware and Architecture Control and Systems Engineering Gait analysis Signal Processing Data mining athlete computer |
| Zdroj: | Electronics, Vol 9, Iss 1457, p 1457 (2020) |
| ISSN: | 2079-9292 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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