SmartInsole: A foot-based activity and gait measurement device

Hafidh, Basim; Osman, Hussein Al; Saddik, Abdulmotaleb El

doi:10.1109/icmew.2013.6618323

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…In [19], we introduced the SmatInsole which is a physical activity and gait measurement system that can communicate with a computer or a mobile device via Bluetooth communication. In this paper, we use an upgraded version of our SmartInsole device to capture the performance metrics of the user while playing a mobile-based game called the "Jumpy Cow".…”

Section: Related Workmentioning

confidence: 99%

“…The idea is to replace the traditional mobile touching interaction with other means that promote physical activity. The system consists of two SmartInsoles [19] that can be placed inside the shoes, a heart rate monitor, and a special software game that is specially developed to encourage children to perform jumping and running activities. It is worth noting that the activities herein are one dimensional in the sense that the user performs them while staying in the same position.…”

Section: Proposed Systemmentioning

confidence: 99%

“…The vibration motor receives command signals during the game play at predefined events so that the user feels more immersed in the game. A detailed description of the SmartInsole can be found in [19].…”

Section: B the Smartinsole: Descriptionmentioning

confidence: 99%

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A modular mobile exergaming system with an adaptive behavior

Karime

Hafidh

Gueaieb

et al. 2015

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings

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Abstract-Obesity rates in the world, especially in the developed countries are alarming. This has forced scientists to consider obesity as an epidemic due to its huge negative consequences on the societies' physical and mental health. Obese Children constitute a large portion of those affected by this epidemic and researchers are striving to find solutions which can curb its spread. Exergames have emerged as promising tools that can help in the fight against obesity because it promotes physical activity through playing. In this paper, we present a mobilebased exergaming system that targets children of different ages and that aims to encourage them to do running and jumping exercises in an enjoyable manner. It currently incorporates 1 game but its modular structure enables to easily accept even more games. The system uses a novel foot interface and a heart monitor that allow interacting with a special game that can adapt to the user's performance. The preliminary evaluations with two children have shown that the system can be an effective tool that engages users into physical activity.

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Section: Related Workmentioning

confidence: 99%

Section: Proposed Systemmentioning

confidence: 99%

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A modular mobile exergaming system with an adaptive behavior

Karime

Hafidh

Gueaieb

et al. 2015

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings

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“…Hafidh et al showcase the SmartInsole©, a gait measurement device that embedded the complete circuit within the insole [28]. The embedded circuitry includes five FSR (Force-Sensitive Resistor) sensors, an accelerometer, a PICAXE microcontroller, a Bluetooth modem, and a 3.3 V cell battery.…”

Section: Introductionmentioning

confidence: 99%

Cyber-Physical System Framework for Measurement and Analysis of Physical Activities

2019

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Several recent studies in Cyber-Physical Systems (CPS) focus on monitoring human movement and capturing data for further processing and analysis. However, there is a lack of studies that address the configurability and modularity of these systems, which is important for designing customized systems with customized devices. We propose a solution to solve this through a modular framework that automatically recognizes and configures new devices and provides real-time data wirelessly. The proposed framework creates a Digital Twin of the physical device and mirrors its attributes and sensory information into the cyber world so they can be used in real-time and post-routine analysis. As a proof of concept, a configurable CPS model for physical activities monitoring is designed and implemented. The designed gait monitoring and analysis system delivers spatiotemporal data from multiple multi-sensory devices to a central data handling and backup cloud server over conventional IEEE802.11 Wi-Fi. An experiment involving a young athlete examined whether or not the CPS components would recognize each other over foreign networks and communicate accurate information.

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“…With the same embedded structure as the eSHOE, Hafidh et al started the development of the SmartInsole© in 2013, which is a gait measurement insole device with the complete circuit embedded within the insole [23]. The embedded circuitry includes 12 FSR sensors, an accelerometer, a microcontroller, a Bluetooth modem and a 3.3-Vcell battery.…”

Section: Introductionmentioning

confidence: 99%

Instrumented Wireless SmartInsole System for Mobile Gait Analysis: A Validation Pilot Study with Tekscan Strideway

Arafsha¹,

Hanna²,

Aboualmagd³

et al. 2018

JSAN

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A SmartInsoles Cyber-Physical System (CPS) is designed and implemented for the purpose of measuring gait parameters of multiple users in a restriction-free environment. This CPS comprises a master software installed on a computer and numerous multi-sensory health devices in the form of smart insoles. Each of these insoles contains 12 Force-Sensitive Resistor (FSR) sensors, an Inertial Measurement Unit (IMU), a WiFi-enabled microcontroller and a battery to power all components. A validation pilot study was completed in collaboration with the Interdisciplinary School of Health Sciences at the University of Ottawa by performing 150 trials on 15 healthy subjects. Each subject performed 10 walks on the Tekscan Strideway gait mat system, while simultaneously wearing the designed SmartInsoles CPS. Spatiotemporal data for over 450 unique steps were collected by both systems. These data were analyzed carefully, and a thorough comparison was performed between the results from the two systems. Seven parameters were analyzed in this study: stride time, stance time, swing time, double support time, step time, cadence and gait time. Detailed results in the form of tables, scatterplots, histograms and Bland-Altman graphs were generated. Analysis of the results shows high agreement between the values of the two systems and suggests high accuracy of the implemented CPS as a multi-device, multi-sensory system for gait measurement and analysis.

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SmartInsole: A foot-based activity and gait measurement device

Cited by 7 publications

References 3 publications

A modular mobile exergaming system with an adaptive behavior

A modular mobile exergaming system with an adaptive behavior

Cyber-Physical System Framework for Measurement and Analysis of Physical Activities

Instrumented Wireless SmartInsole System for Mobile Gait Analysis: A Validation Pilot Study with Tekscan Strideway

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