Development of a Smart Insole for Medical and Sports Purposes

Tan, Adin Ming; Fuss, Franz Konstantin; Weizman, Yehuda; Troynikov, Olga

doi:10.1016/j.proeng.2015.07.191

Cited by 29 publications

(19 citation statements)

References 9 publications

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“…In this study we focused on comparing gait parameters of the PE to a newly-developed innovative SI. The SI is an inshoe plantar measuring system developed by Tan et al with recently published papers [10,11]. The study aims to investigate the COP accuracy of the PE and SI systems during gait, using a FP, by means of COP data noise (R 2 ), and the gradient of the fit function (k).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Centre of Pressure Gait Measurements from Two Pressure-Sensitive Insoles

Weizman

Tan

Fuss

2018

The 12th Conference of the International Sports Engineering Association

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Footwear-based wearable applications are relevant to numerous fields and have great commercial and clinical potential. However, scientifically validated, reliable data on these devices is largely missing. Centre of pressure (COP) is an important and common factor for measuring balance and gait and hence the validity of such devices is essential for reading accurate data. This study aims to investigate COP accuracy of an existing system, Pedar (PE), and a newly designed Smart Insole (SI) using a force plate (FP). This was done by means of COP data noise (R 2 ), and gradient of the fit function (k).

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Section: Introductionmentioning

confidence: 99%

Accuracy of Centre of Pressure Gait Measurements from Two Pressure-Sensitive Insoles

Weizman

Tan

Fuss

2018

The 12th Conference of the International Sports Engineering Association

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“…3. was obtained and reproduced with permission from Tan et al [10] and it showed the comparison between forces measured by the Kistler force plate and the calculated forces from the insoles. The forces do match up relatively well with an r 2 value of 0.981 and the residual standard deviation achieved was 70.35 N for forces larger than 700 N.…”

Section: Resultsmentioning

confidence: 99%

Design of Low Cost Smart Insole for Real Time Measurement of Plantar Pressure

Tan

Fuss

Weizman

et al. 2015

Procedia Technology

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Real time plantar pressure provides information critical to the understanding of gait mechanics and has a wide range of applications. In this study, smart insoles were designed and developed to measure real time foot plantar pressure. Key features of the insoles included cost-effectiveness, good working pressure detection range, wireless data transfer and real-time data analysis. Calibration of the sensing material was done and the resulting accuracy of the insoles was compared to that of a Kistler force plate, achieving an r 2 value of 0.981. Real-time visualization of pressure mapping was incorporated to enable intuitive understanding of relative plantar pressure distribution.

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“…Let us take smart insoles as an example. A group of researchers from RMIT University developed an insole with piezoelectric transducers to measure and analyze gait when kicking a soccer ball, which could collect trainees’ real-time gait information and help make an effective coaching plan [ 83 ]. In [ 84 ], researchers designed an insole that embedded a grid of 64 pressure sensing elements that use light emitting diodes (LED) and light sensor pairs to measure pressure distribution and the center of pressure.…”

Section: Discussionmentioning

confidence: 99%

Digital Twin Coaching for Physical Activities: A Survey

Díaz

Ding

et al. 2020

Sensors

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Digital Twin technology has been rising in popularity thanks to the popularity of machine learning in the last decade. As the life expectancy of people around the world is increasing, so is the focus on physical activity to remain healthy especially in the current times where people are staying sedentary while in quarantine. This article aims to provide a survey on the field of Digital Twin technology focusing on machine learning and coaching techniques as they have not been explored yet. We also define what Digital Twin Coaching is and categorize the work done so far in terms of the objective of the physical activity. We also list common Digital Twin Coaching characteristics found in the articles reviewed in terms of concepts such as interactivity, privacy and security and also detail future perspectives in multimodal interaction and standardization, to name a few, that can guide researchers if they choose to work in this field. Finally, we provide a diagram for the Digital Twin Ecosystem showing the interaction between relevant entities and the information flow as well as an idealization of an ideal Digital Twin Ecosystem for team sports’ athlete tracking.

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Development of a Smart Insole for Medical and Sports Purposes

Cited by 29 publications

References 9 publications

Accuracy of Centre of Pressure Gait Measurements from Two Pressure-Sensitive Insoles

Accuracy of Centre of Pressure Gait Measurements from Two Pressure-Sensitive Insoles

Design of Low Cost Smart Insole for Real Time Measurement of Plantar Pressure

Digital Twin Coaching for Physical Activities: A Survey

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