214 Reaction Force Estimation by Using Plantar Pressure Sensor

2005 ◽  
Vol 2005.43 (0) ◽  
pp. 67-68
Author(s):  
Yohei YAMASAKI ◽  
Yoshio INOUE ◽  
Kyoko SHIBATA ◽  
Takuya MATSUDA ◽  
Hiroki TAMURA
Keyword(s):  
Pressure Sensor ◽  
Plantar Pressure ◽  
Reaction Force ◽  
Force Estimation

scholarly journals The Design and Simulation of a 16-Sensors Plantar Pressure Insole Layout for Different Applications: From Sports to Clinics, a Pilot Study

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1450
Author(s):  
Alfredo Ciniglio ◽  
Annamaria Guiotto ◽  
Fabiola Spolaor ◽  
Zimi Sawacha
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Center Of Pressure ◽  
Reaction Force ◽  
Weight Lifting ◽  
Lower Limbs ◽  
Plantar Pressure Distribution ◽  
Drop Landing ◽  
Mean Pressure ◽  
Footwear Design

The quantification of plantar pressure distribution is widely done in the diagnosis of lower limbs deformities, gait analysis, footwear design, and sport applications. To date, a number of pressure insole layouts have been proposed, with different configurations according to their applications. The goal of this study is to assess the validity of a 16-sensors (1.5 × 1.5 cm) pressure insole to detect plantar pressure distribution during different tasks in the clinic and sport domains. The data of 39 healthy adults, acquired with a Pedar-X® system (Novel GmbH, Munich, Germany) during walking, weight lifting, and drop landing, were used to simulate the insole. The sensors were distributed by considering the location of the peak pressure on all trials: 4 on the hindfoot, 3 on the midfoot, and 9 on the forefoot. The following variables were computed with both systems and compared by estimating the Root Mean Square Error (RMSE): Peak/Mean Pressure, Ground Reaction Force (GRF), Center of Pressure (COP), the distance between COP and the origin, the Contact Area. The lowest (0.61%) and highest (82.4%) RMSE values were detected during gait on the medial-lateral COP and the GRF, respectively. This approach could be used for testing different layouts on various applications prior to production.

scholarly journals Stress relaxation of the infusion tube with a pressure sensor

2018 ◽  
Vol 232 ◽  
pp. 04021
Author(s):  
Aoru Xie
Keyword(s):  
Stress Relaxation ◽  
Stress Distribution ◽  
Contact Pressure ◽  
Pressure Sensor ◽  
Reaction Force ◽  
Infusion Tube

We studied stress relaxation of the infusion tube with a pressure sensor using FEA method. The stress distribution in the tube, the contact pressure on the wall of the pressure sensor, the decay of the reaction force on the wall of the pressure sensor were determined, respectively. Due to the stress relaxation of the infusion tube, the reaction force generated by the tube deformation was decreased by over 75% as compared with the original reaction force in the first several seconds after the infusion tube was set into the pressure sensor.

scholarly journals A Development of Plantar Pressure Sensor for Foot Ulcer Detection in Diabetic Neuropathy Individuals – A Pilot Study

2020 ◽  
Vol 1535 ◽  
pp. 012019
Author(s):  
Nor Salwa Damanhuri ◽  
Nor Azlan Othman ◽  
Wan Fatimah Azzahra Wan Zaidi ◽  
Samihah Abdullah
Keyword(s):  
Pilot Study ◽  
Diabetic Neuropathy ◽  
Pressure Sensor ◽  
Plantar Pressure ◽  
Foot Ulcer ◽  
Ulcer Detection

scholarly journals Ground Reaction Force Estimation in Prosthetic Legs With Nonlinear Kalman Filtering Methods

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Seyed Fakoorian ◽  
Vahid Azimi ◽  
Mahmoud Moosavi ◽  
Hanz Richter ◽  
Dan Simon
Keyword(s):  
Kalman Filter ◽  
Continuous Time ◽  
Lyapunov Functions ◽  
Unscented Kalman Filter ◽  
Estimation Error ◽  
Reaction Force ◽  
Force Estimation ◽  
Joint Angles ◽  
Estimation Errors ◽  
Reaction Forces

A method to estimate ground reaction forces (GRFs) in a robot/prosthesis system is presented. The system includes a robot that emulates human hip and thigh motion, along with a powered (active) transfemoral prosthetic leg. We design a continuous-time extended Kalman filter (EKF) and a continuous-time unscented Kalman filter (UKF) to estimate not only the states of the robot/prosthesis system but also the GRFs that act on the foot. It is proven using stochastic Lyapunov functions that the estimation error of the EKF is exponentially bounded if the initial estimation errors and the disturbances are sufficiently small. The performance of the estimators in normal walk, fast walk, and slow walk is studied, when we use four sensors (hip displacement, thigh, knee, and ankle angles), three sensors (thigh, knee, and ankle angles), and two sensors (knee and ankle angles). Simulation results show that when using four sensors, the average root-mean-square (RMS) estimation error of the EKF is 0.0020 rad for the joint angles and 11.85 N for the GRFs. The respective numbers for the UKF are 0.0016 rad and 7.98 N, which are 20% and 33% lower than those of the EKF.

Effect of Running Speed and Midsole Type on Foot Loading in Heel–Toe Running

2020 ◽  
Vol 36 (3) ◽  
pp. 134-140
Author(s):  
Piaolin Peng ◽  
Shaolan Ding ◽  
Zhikang Wang ◽  
Yifan Zhang ◽  
Jiahao Pan
Keyword(s):  
Vinyl Acetate ◽  
Ground Reaction Force ◽  
Plantar Pressure ◽  
Thermoplastic Polyurethane ◽  
Reaction Force ◽  
Ethylene Vinyl Acetate ◽  
Polyurethane Elastomer ◽  
Running Speed ◽  
Related Data ◽  
Foot Loading

The purpose of this study was to explore the immediate effects of running speed and midsole type on foot loading during heel–toe running. Fifteen healthy male college students were required to complete 3 running trials on an indoor 45-m tartan runway at 4 different speeds (3, 4, 5, and 6 m/s) using 2 different running footwear types (engineering thermoplastic polyurethane elastomer, polyurethane elastomer; and ethylene vinyl acetate, vinyl acetate). The ground reaction force and plantar pressure data were quantified. Significant speed effects were detected both in ground reaction force and plantar pressure-related data (P < .05). Vertical average loading rate was significantly less, and time to first peak occurred later for the polyurethane elastomer compared with vinyl acetate footwear (P < .05). The peak pressure of the heel, medial forefoot, central forefoot, lateral forefoot, and big toe was significantly less when subjects wore a polyurethane elastomer than vinyl acetate footwear (P < .05). Overall, our results suggested that, compared with the vinyl acetate footwear, the special polyurethane elastomer footwear that is adhered with thousands of polyurethane elastomer granules was effective at reducing the mechanical impact on the foot.

Hybrid Position and Force Control Without Force Sensor

1996 ◽  
Vol 8 (3) ◽  
pp. 226-234
Author(s):  
Kiyoshi Ohishi ◽  
◽  
Masaru Miyazaki ◽  
Masahiro Fujita ◽  
Keyword(s):  
Degrees Of Freedom ◽  
Inverse Dynamics ◽  
Hybrid Control ◽  
Robot Manipulator ◽  
Reaction Force ◽  
Force Sensor ◽  
Force Estimation ◽  
Estimation System ◽  
Dynamics Calculation ◽  
Torque Observer

Generally, hybrid control is realized by sensor signal feedback of position and force. However, some robot manipulators do not have a force sensor due to the environment. Moreover, a precise force sensor is very expensive. In order to overcome these problems, we propose the estimation system of reaction force without using a force sensor. This system consists of the torque observer and the inverse dynamics calculation. Using both this force estimation system and <I>H</I>∞ acceleration controller which is based on <I>H</I>∞ control theory, it takes into account the frequency characteristics of both sensor noise effect and disturbance rejection. The experimental results in this paper illustrate the fine hybrid control of the three tested degrees-of-freedom DD robot manipulator without force sensor.

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