PI-Sole: A Low-Cost Solution for Gait Monitoring Using Off-The-Shelf Piezoelectric Sensors and IMU

Chandel, Vivek; Singhal, Shubham; Sharma, Varsha; Ahmed, N.; Ghose, Avik

doi:10.1109/embc.2019.8857877

Cited by 15 publications

(9 citation statements)

References 21 publications

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“…The reason of using the IMU sensor is that this sensor has an immediate response to any movement occurring towards it, and it is convenient to put close to the knee joint so that the signal will be more accurate. This is different from previous work [13], where a foot plantar sensor was used, needing much sensor configuration and the signal having to be wait until the user stepped their foot on the right position. As for sensor placement in this work, presented on Figure 1, Figure 1a shows the mechanical equipment of the lower limb exoskeleton for the knee joints, and Figure 1b shows the position of the sensor on the center of the thigh, about 5 cm above from the center point of the knee for each leg.…”

Section: Sensor Placementmentioning

confidence: 81%

“…In another study, the gait cycle could also be recognized by using sensors placed on the plantar of the feet, as presented by Pawin, et.al [12], calculating the locus of Zero Moment Point (ZMP) from the walking gait cycle estimated by using Force Sensitive Resistors (FSRs). In order to classify the normal gait cycle, they implemented a neural network Kim et al [13] proposed a simple gait segmentation from two sensorized insoles and developed eight flexible capacitive costume-made sensors to calculate the gait parameters and segment the gait cycle phased and subphases. Using the foot plantar for gait recognition was also proposed in [14,15], using a different approach.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Identification of Knee Joint Walking Gait as Preliminary Signal for Developing Lower Limb Exoskeleton

et al. 2021

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An exoskeleton is a device used for walking rehabilitation. In order to develop a proper rehabilitation exoskeleton, a user’s walking intention needs to be captured as the initial step of work. Moreover, every human has a unique walking gait style. This work introduced a wearable sensor, which aimed to recognize the walking gait phase, as the fundamental step before applying it into the rehabilitation exoskeleton. The sensor used in this work was the IMU sensor, used to recognize the pitch angle generated from the knee joint while the user walks, as information about the walking gait cycle, before doing the investigation on how to identify the walking gait cycle. In order to identify the walking gait cycle, Neural Network has been proposed as a method. The gait cycle identification was generated to recognize the gait cycle on the knee joint. To verify the performance of the proposed method, experiments have been done in real-time application. The experiments were carried out with different processes such as walking on a flat floor, climbing up, and walking down stairs. Five subjects were trained and tested using the system. The experiments showed that the proposed method was able to recognize each gait cycle for all users as they wore the sensor on their knee joints. This study has the potential to be applied on an exoskeleton rehabilitation robot as a further research experiment.

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Section: Sensor Placementmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Real-Time Identification of Knee Joint Walking Gait as Preliminary Signal for Developing Lower Limb Exoskeleton

et al. 2021

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“…In [74], PPD measurements and gait monitoring were accomplished using piezoelectric sensors combined with an IMU in an insole. A firm base was used for the insole, onto which ceramic piezoelectric discs were placed in five locations.…”

Section: Foot Pressure Monitoringmentioning

confidence: 99%

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Subramaniam

Majumder

Faisal

et al. 2022

Sensors

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Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals’ daily activities, providing information that is reflective of an individual’s health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual’s health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual’s health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.

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“…Use of IMUs in healthcare and bioinformatic applications are becoming more common as a result of the quality of data produced in comparison to their PSR counterpart. Their increasingly small form factor and low-cost allows for easily scalable and remote deployment [14,15]. Despite their low-cost, studies have shown them to perform in equivalent accuracy to their respective gold-standards in running gait assessment [16,17].…”

Section: A Imu-based Gait Analysismentioning

confidence: 99%

Validation of an inertial-based contact and swing time algorithm for running analysis from a foot mounted IoT enabled wearable

Young

Stuart

Morris

et al. 2021

2021 43rd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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PI-Sole: A Low-Cost Solution for Gait Monitoring Using Off-The-Shelf Piezoelectric Sensors and IMU

Cited by 15 publications

References 21 publications

Real-Time Identification of Knee Joint Walking Gait as Preliminary Signal for Developing Lower Limb Exoskeleton

Real-Time Identification of Knee Joint Walking Gait as Preliminary Signal for Developing Lower Limb Exoskeleton

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Validation of an inertial-based contact and swing time algorithm for running analysis from a foot mounted IoT enabled wearable

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