Plantar pressure measurement system based on piezoelectric sensor: a review

Li, Xiang; Wang, Keyi; Wang, Yan Lin; Wang, Kui Cheng

doi:10.1108/sr-09-2021-0333

Cited by 13 publications

(7 citation statements)

References 58 publications

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“…The distribution of plantar pressure in different regions reflects the human body’s movement state. The primary functions of the human foot are to support the body, cushion and absorb impact forces, facilitate movement, and maintain stability [ 29 , 30 , 31 ]. As pressure sensors have limited sensing areas, it is crucial to maximize the collection of plantar pressure information.…”

Section: Methodsmentioning

confidence: 99%

Elderly Fall Detection Based on GCN-LSTM Multi-Task Learning Using Nursing Aids Integrated with Multi-Array Flexible Tactile Sensors

Li,

Yan,

Yin

et al. 2023

Biosensors

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Due to the frailty of elderly individuals’ physical condition, falling can lead to severe bodily injuries. Effective fall detection can significantly reduce the occurrence of such incidents. However, current fall detection methods heavily rely on visual and multi-sensor devices, which incur higher costs and complex wearable designs, limiting their wide-ranging applicability. In this paper, we propose a fall detection method based on nursing aids integrated with multi-array flexible tactile sensors. We design a kind of multi-array capacitive tactile sensor and arrange the distribution of tactile sensors on the foot based on plantar force analysis and measure tactile sequences from the sole of the foot to develop a dataset. Then we construct a fall detection model based on a graph convolution neural network and long-short term memory network (GCN-LSTM), where the GCN module and LSTM module separately extract spatial and temporal features from the tactile sequences, achieving detection on tactile data of foot and walking states for specific time series in the future. Experiments are carried out with the fall detection model, the Mean Squared Error (MSE) of the predicted tactile data of the foot at the next time step is 0.0716, with the fall detection accuracy of 96.36%. What is more, the model can achieve fall detection on 5-time steps with 0.2-s intervals in the future with high confidence results. It exhibits outstanding performance, surpassing other baseline algorithms. Besides, we conduct experiments on different ground types and ground morphologies for fall detection, and the model showcases robust generalization capabilities.

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Section: Methodsmentioning

confidence: 99%

Elderly Fall Detection Based on GCN-LSTM Multi-Task Learning Using Nursing Aids Integrated with Multi-Array Flexible Tactile Sensors

Li,

Yan,

Yin

et al. 2023

Biosensors

View full text Add to dashboard Cite

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“…Generally, physical sensors mainly include pressure sensors (including piezoelectric, piezoresistive, capacitive, and triboelectric sensors), strain sensors, temperature sensors, humidity sensors, photoelectric sensors, etc. The working principle of the piezoelectric pressure sensor is to spontaneously convert the pressure signal into the voltage signal based on the piezoelectric effect generated by applying pressure to the piezoelectric material . This type of sensor provides specific advantages in sensitivity, stability, and reliability for specific applications.…”

Section: Classification Working Principle and Key Parameters Of Physi...mentioning

confidence: 99%

“…The working principle of the piezoelectric pressure sensor is to spontaneously convert the pressure signal into the voltage signal based on the piezoelectric effect generated by applying pressure to the piezoelectric material. 42 This type of sensor provides specific advantages in sensitivity, stability, and reliability for specific applications. It can achieve high sensitivity and self-power supply but cannot detect static pressure.…”

mentioning

confidence: 99%

Recent Advances in Physical Sensors Based on Electrospinning Technology

Cao

Chai

Tan

et al. 2023

ACS Materials Lett.

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In the past decades, the rapid development of the Internet of Things (IoT) technology and artificial intelligence (AI) has driven the research boom of physical sensors. Material selection, structure design, and performance research for physical sensors have attracted extensive attention from worldwide researchers in the field of advanced manufacturing. Significant technological progress has been made in the area of physical sensors for applications in various fields such as electronic skin, biomedicine, and tissue engineering. There are many methods (e.g., electrospinning, screen printing, or rotary coating) to prepare physical sensors. Among them, nanofibers or nanofiber membranes prepared by electrospinning have the advantages of a nanosize effect, high specific surface area, and high porosity over other reported materials used for physical sensors. In this review, the working principles of various physical sensors including pressure sensors, strain sensors, temperature sensors, and humidity sensors are first introduced; recent research progress of electrospun nanofiber-based physical sensors is then summarized. Finally, future research trends and associated challenges of large-scale adoption of electrospun physical sensors are proposed.

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“…Capacitive flexible sensor response speed, high sensitivity, is widely used in clothing touch technology (fabric keyboard); when the finger in the "fabric keyboard" on the tap, slide, the fabric sensor will generate an electrical signal in response to the "touch command" [18] . Piezoelectric flexible sensors subjected to force deformation, will instantly generate an electrical charge in response to external stress, the typical piezoelectric material is polyvinylidene fluoride (PVDF), the PVDF piezoelectric sensor embedded in the insole, can respond to changes in human movement underfoot pressure [19] . The piezoelectric flexible sensor has high sensitivity and wide response range, and it is also widely used in the field of cardiopulmonary detection, but its charge is proportional to the sensing area, and when the area is small, the electrical signal is weak, and a circuit amplifier needs to be constructed to process it.…”

Section: Information Acquisition Modulementioning

confidence: 99%

Research progress of wearable plantar pressure monitoring system

Chen¹,

Zhang²,

Zhuo³

et al. 2022

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In order to rapidly promote the application of wearable plantar pressure monitoring system, the physiological structure of human foot, the source of plantar pressure and exercise step frequency are introduced. Based on the current research status of wearable plantar pressure monitoring systems, the fabrication materials and response principles of the fabric sensor-based integrated pressure monitoring socks are explored, the principle of selecting the features of the wearable plantar pressure monitoring system and its application in the field of the pressure monitoring system is explained. The principle of selecting the features of wearable plantar pressure monitoring system and its application in fall detection, foot disease diagnosis, and plantar pressure database are explained. Finally, we discussed the problems in the industrialization of wearable plantar pressure monitoring system at this stage. The problems of poor material performance and short wireless transmission distance in the industrialization of wearable plantar pressure monitoring systems are discussed, and a better integrated system based on biomechanics, textile materials and electronic communication is proposed. A better application prospect based on the cross-fusion integration of biomechanics, textile materials and electronic communication is proposed.

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Plantar pressure measurement system based on piezoelectric sensor: a review

Cited by 13 publications

References 58 publications

Elderly Fall Detection Based on GCN-LSTM Multi-Task Learning Using Nursing Aids Integrated with Multi-Array Flexible Tactile Sensors

Elderly Fall Detection Based on GCN-LSTM Multi-Task Learning Using Nursing Aids Integrated with Multi-Array Flexible Tactile Sensors

Recent Advances in Physical Sensors Based on Electrospinning Technology

Research progress of wearable plantar pressure monitoring system

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