Archery Form Guidance System Using Acceleration Sensors and Foot Pressure Sensors

2020 ◽  
pp. 199-203
Author(s):  
Ibuki Meguro ◽  
Eiichi Hayakawa
Keyword(s):  
Pressure Sensors ◽  
Guidance System ◽  
Foot Pressure ◽  
Acceleration Sensors

scholarly journals Estimate of Floor Reaction Force Vector Using Foot-Pressure Sensors

2008 ◽  
Vol 74 (739) ◽  
pp. 749-751 ◽  
Author(s):  
Kazuto MIYAWAKI ◽  
Takehiro IWAMI ◽  
Goro OBINATA ◽  
Yoichi SHIMADA
Keyword(s):  
Reaction Force ◽  
Pressure Sensors ◽  
Force Vector ◽  
Foot Pressure ◽  
Floor Reaction Force

scholarly journals Interactive Gait Rehabilitation System with a Locomotion Interface for Training Patients to Climb Stairs

2012 ◽  
Vol 21 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Hiroaki Yano ◽  
Shintaro Tamefusa ◽  
Naoki Tanaka ◽  
Hideyuki Saito ◽  
Hiroo Iwata
Keyword(s):  
Pressure Sensors ◽  
Gait Training ◽  
Gait Rehabilitation ◽  
Healthy Individuals ◽  
Pressure Data ◽  
Foot Pressure ◽  
Interactive Mode ◽  
Rehabilitation System ◽  
Locomotion Interface

This paper describes the development of a gait rehabilitation system with a locomotion interface (LI) for training patients to climb stairs. The LI consists of two 2-DOF manipulators equipped with footpads. These can move the patient's feet while his or her body remains stationary. The footpads follow the prerecorded motion of the feet of healthy individuals. For gait training, the patient progresses sequentially through successively more advanced modes. In this study, two modes, the enforced climbing of stairs and interactive climbing of stairs, were developed. In the interactive mode, foot pressure sensors are used to realize interactive walking. Comparisons were made between the modes for healthy individuals and a patient. The effectiveness of the system was examined using electromyography (EMG) and foot pressure data.

scholarly journals Development of Gait Monitoring System Based on 3-axis Accelerometer and Foot Pressure Sensors

2016 ◽  
Vol 10 (3) ◽  
pp. 199-206
Author(s):  
In-Hwan Ryu ◽  
Sunwoo Lee ◽  
Hyungi Jeong ◽  
Kihoon Byun ◽  
Jang-Woo Kwon
Keyword(s):  
Monitoring System ◽  
Pressure Sensors ◽  
Foot Pressure ◽  
Gait Monitoring

scholarly journals A Method for Recognizing Postures and Gestures Using Foot Pressure Sensors

2019 ◽  
Vol 27 (0) ◽  
pp. 348-358
Author(s):  
Ayumi Ohnishi ◽  
Tsutomu Terada ◽  
Masahiko Tsukamoto
Keyword(s):  
Pressure Sensors ◽  
Foot Pressure

scholarly journals Improving postural stability among people with lower-limb amputations by tactile sensory substitution

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lijun Chen ◽  
Yanggang Feng ◽  
Baojun Chen ◽  
Qining Wang ◽  
Kunlin Wei
Keyword(s):  
Postural Control ◽  
Lower Limb ◽  
Postural Stability ◽  
Pressure Sensors ◽  
Interaction Force ◽  
The Body ◽  
Sensory Substitution ◽  
Foot Pressure ◽  
Vibration Intensity ◽  
Visual Disturbances

Abstract Background For people with lower-limb amputations, wearing a prosthetic limb helps restore their motor abilities for daily activities. However, the prosthesis's potential benefits are hindered by limited somatosensory feedback from the affected limb and its prosthesis. Previous studies have examined various sensory substitution systems to alleviate this problem; the prominent approach is to convert foot–ground interaction to tactile stimulations. However, positive outcomes for improving their postural stability are still rare. We hypothesized that the sensory substiution system based on surrogated tactile stimulus is capable of improving the standing stability among people with lower-limb amputations. Methods We designed a wearable device consisting of four pressure sensors and two vibrators and tested it among people with unilateral transtibial amputations (n = 7) and non-disabled participants (n = 8). The real-time measurements of foot pressure were fused into a single representation of foot–ground interaction force, which was encoded by varying vibration intensity of the two vibrators attached to the participants’ forearm. The vibration intensity followed a logarithmic function of the force representation, in keeping with principles of tactile psychophysics. The participants were tested with a classical postural stability task in which visual disturbances perturbed their quiet standing. Results With a brief familiarization of the system, the participants exhibited better postural stability against visual disturbances when switching on sensory substitution than without. The body sway was substantially reduced, as shown in head movements and excursions of the center of pressure. The improvement was present for both groups of participants and was particularly pronounced in more challenging conditions with larger visual disturbances. Conclusions Substituting otherwise missing foot pressure feedback with vibrotactile signals can improve postural stability for people with lower-limb amputations. The design of the mapping between the foot–ground interaction force and the tactile signals is essential for the user to utilize the surrogated tactile signals for postural control, especially for situations that their postural control is challenged.

scholarly journals Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system

2022 ◽  
Vol 19 (1) ◽  
Author(s):  
Frederick Mun ◽  
Ahnryul Choi
Keyword(s):  
Older Adults ◽  
Deep Learning ◽  
Pressure Distribution ◽  
Correlation Coefficient ◽  
Short Term Memory ◽  
Low Cost ◽  
Pressure Sensors ◽  
Foot Pressure ◽  
Age Related ◽  
Pathological Gait

Abstract Background Foot pressure distribution can be used as a quantitative parameter for evaluating anatomical deformity of the foot and for diagnosing and treating pathological gait, falling, and pressure sores in diabetes. The objective of this study was to propose a deep learning model that could predict pressure distribution of the whole foot based on information obtained from a small number of pressure sensors in an insole. Methods Twenty young and twenty older adults walked a straight pathway at a preferred speed with a Pedar-X system in anti-skid socks. A long short-term memory (LSTM) model was used to predict foot pressure distribution. Pressure values of nine major sensors and the remaining 90 sensors in a Pedar-X system were used as input and output for the model, respectively. The performance of the proposed LSTM structure was compared with that of a traditionally used adaptive neuro-fuzzy interference system (ANFIS). A low-cost insole system consisting of a small number of pressure sensors was fabricated. A gait experiment was additionally performed with five young and five older adults, excluding subjects who were used to construct models. The Pedar-X system placed parallelly on top of the insole prototype developed in this study was in anti-skid socks. Sensor values from a low-cost insole prototype were used as input of the LSTM model. The accuracy of the model was evaluated by applying a leave-one-out cross-validation. Results Correlation coefficient and relative root mean square error (RMSE) of the LSTM model were 0.98 (0.92 ~ 0.99) and 7.9 ± 2.3%, respectively, higher than those of the ANFIS model. Additionally, the usefulness of the proposed LSTM model for fabricating a low-cost insole prototype with a small number of sensors was confirmed, showing a correlation coefficient of 0.63 to 0.97 and a relative RMSE of 12.7 ± 7.4%. Conclusions This model can be used as an algorithm to develop a low-cost portable smart insole system to monitor age-related physiological and anatomical alterations in foot. This model has the potential to evaluate clinical rehabilitation status of patients with pathological gait, falling, and various foot pathologies when more data of patients with various diseases are accumulated for training.

Study on Volleyball Athletes Foot Pressure Acquisition Method

2013 ◽  
Vol 303-306 ◽  
pp. 274-279
Author(s):  
Min Shu ◽  
Yi Yang Li ◽  
Xing Zhi Liao
Keyword(s):  
Professional Training ◽  
Dynamic Pressure ◽  
Pressure Sensors ◽  
High Sensitivity ◽  
Sports Injury ◽  
Fast Response ◽  
Pvdf Film ◽  
Training Design ◽  
Foot Pressure ◽  
Athlete’S Foot

How to improve training records and skill level, and try to minimize sports injury at the same time, has increasingly become the focus of Volleyball Professional Training Design. This paper puts forward a method to acquire the foot pressure information of volleyball athlete. By utilizing PVDF film which has the advantages of fast response, high sensitivity, good mechanical properties etc., the array of pressure sensors and signal conditioning circuit have been designed and produced. Tested, this method can accurately in real time acquire volleyball athlete’s foot dynamic pressure distribution information.

Micropower Generators and Sensors Based on Piezoelectric Polypropylene PP and Polyvinylidene Fluoride PVDF Films - Energy Harvesting from Walking

2011 ◽  
Vol 110-116 ◽  
pp. 1245-1251 ◽  
Author(s):  
Ewa Klimiec ◽  
Krzysztof Zaraska ◽  
Wiesław Zaraska ◽  
Szymon Kuczyński
Keyword(s):  
Polyvinylidene Fluoride ◽  
Active Element ◽  
Pressure Sensors ◽  
Single Layer ◽  
Measuring System ◽  
Pvdf Film ◽  
Foot Pressure ◽  
Data Record ◽  
Film Layer ◽  
Micropower Generators

This paper presents investigation of piezoelectric proprieties of polypropylene PP and polyvinylidene fluoride PVDF films at an angle of their application as micropower generators and foot pressure sensors in walking process. Obtaind micropower from single layer is about 1.7W and 5.3W for polypropylene film and about 1.7W and 3.3W for polyvinylidene fluoride film. Obtained voltage from single film layer is 8.9V to 14V for PP film and 2 to 3.4V for PVDF film. Obtained micropower from piezoelectric film and course character of voltage in function of time during walking process, depends from used film and shoe insole construction, where active element was sandwich. Recived data record of voltage, power and foot movement images from measuring system, can be use in dynamic investigations of posture defects.

scholarly journals Impact of Fabric Properties on Textile Pressure Sensors Performance

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4686 ◽  
Author(s):  
Luca Possanzini ◽  
Marta Tessarolo ◽  
Laura Mazzocchetti ◽  
Enrico Gianfranco Campari ◽  
Beatrice Fraboni
Keyword(s):  
Pressure Range ◽  
Operation Mode ◽  
Conductive Polymer ◽  
Pressure Sensors ◽  
High Sensitivity ◽  
Foot Pressure ◽  
Sensing Applications ◽  
High Pressure Range ◽  
Physical And Chemical ◽  
Ink Formulation

In recent years, wearable technologies have attracted great attention in physical and chemical sensing applications. Wearable pressure sensors with high sensitivity in low pressure range (<10 kPa) allow touch detection for human-computer interaction and the development of artificial hands for handling objects. Conversely, pressure sensors that perform in a high pressure range (up to 100 kPa), can be used to monitor the foot pressure distribution, the hand stress during movements of heavy weights or to evaluate the cyclist’s pressure pattern on a bicycle saddle. Recently, we developed a fully textile pressure sensor based on a conductive polymer, with simple fabrication and scalable features. In this paper, we intend to provide an extensive description on how the mechanical properties of several fabrics and different piezoresistive ink formulation may have an impact in the sensor’s response during a dynamic operation mode. These results highlight the complexity of the system due to the presence of various parameters such as the fabric used, the conductive polymer solution, the operation mode and the desired pressure range. Furthermore, this work can lead to a protocol for new improvements and optimizations useful for adapting textile pressure sensors to a large variety of applications.

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