scholarly journals Concurrent Plantar Stress Sensing and Energy Harvesting Technique by Piezoelectric Insole Device and Rectifying Circuitry for Gait Monitoring in the Internet of Health Things

2020 ◽  
Author(s):  
Shuaibo Kang ◽  
Jingjing Lin ◽  
Junliang Chen ◽  
Yanning Dai ◽  
Zhiheng Wang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Detection Sensitivity ◽  
Detection Accuracy ◽  
Stress Detection ◽  
Force Detection ◽  
Battery Lifetime ◽  
Harvesting Technique ◽  
High Detection ◽  
Stress Sensing ◽  
Gait Monitoring

Concurrent high force detection accuracy and extended battery lifetime are expected for wearable gait monitoring systems. In this article, a piezoelectric insole device and rectifying circuitry-based technique is presented to achieve these two goals. Here, walking induced positive and negative charges are separated for plantar stress detection and energy harvesting respectively, realizing the two functions concurrently. The high detection sensitivity of 55 mN and responsivity of 231 mV/N are achieved, satisfying the need for diagnosing various diseases. 1.6 pJ is stored during a walking event, extending the battery lifetime. The developed technique enhances the development of gait monitoring in IoHT.

scholarly journals Concurrent Plantar Stress Sensing and Energy Harvesting Technique by Piezoelectric Insole Device and Rectifying Circuitry for Gait Monitoring in the Internet of Health Things

2020 ◽  
Author(s):  
Shuaibo Kang ◽  
Jingjing Lin ◽  
Junliang Chen ◽  
Yanning Dai ◽  
Zhiheng Wang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Detection Sensitivity ◽  
Detection Accuracy ◽  
Stress Detection ◽  
Force Detection ◽  
Battery Lifetime ◽  
Harvesting Technique ◽  
High Detection ◽  
Stress Sensing ◽  
Gait Monitoring

Concurrent high force detection accuracy and extended battery lifetime are expected for wearable gait monitoring systems. In this article, a piezoelectric insole device and rectifying circuitry-based technique is presented to achieve these two goals. Here, walking induced positive and negative charges are separated for plantar stress detection and energy harvesting respectively, realizing the two functions concurrently. The high detection sensitivity of 55 mN and responsivity of 231 mV/N are achieved, satisfying the need for diagnosing various diseases. 1.6 pJ is stored during a walking event, extending the battery lifetime. The developed technique enhances the development of gait monitoring in IoHT.

scholarly journals A piezoelectric flexible insole system for gait monitoring for the Internet of Health Things

2020 ◽  
Author(s):  
Junliang Chen ◽  
Yanning Dai ◽  
Shuo Gao
Keyword(s):  
Real Time ◽  
Chronic Diseases ◽  
Experimental Results ◽  
Detection Sensitivity ◽  
The Internet ◽  
High Detection ◽  
Gait Monitoring ◽  
Continuous Working ◽  
High Detection Sensitivity

Gait is closely associated with many chronic diseases. With the development of the Internet of Health Things (IoHT), long-term gait monitoring and corresponding analysis can be performed remotely, reducing a patient’s time and traffic cost, while providing doctors more valuable gait information. The presented work provides a feasible means for real-time, long-term, and accurate gait monitoring in an IoHT scenario. Through the experimental results, the high detection sensitivity of 54 mN and responsivity of 163 mV/N are achieved, thereby satisfying the need for analyzing various diseases. Furthermore, 16 hours continuous working time indicates its successful utilization during long-term gait monitoring.

scholarly journals Individualized stress detection using an unmodified car steering wheel

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stephanie Balters ◽  
Nikhil Gowda ◽  
Francisco Ordonez ◽  
Pablo E. Paredes
Keyword(s):  
Natural Frequency ◽  
Cohort Analysis ◽  
Muscle Stiffness ◽  
Steering Wheel ◽  
Detection Accuracy ◽  
Inverse Filtering ◽  
Stress Detection ◽  
Movement Data ◽  
Stress Sensing ◽  
The Individual

AbstractIn-car passive stress sensing could enable the monitoring of stress biomarkers while driving and reach millions of commuters daily (i.e., 123 million daily commuters in the US alone). Here, we present a nonintrusive method to detect stress solely from steering angle data of a regular car. The method uses inverse filtering to convert angular movement data into a biomechanical Mass Spring Damper model of the arm and extracts its damped natural frequency as an approximation of muscle stiffness, which in turn reflects stress. We ran a within-subject study (N = 22), in which commuters drove a vehicle around a closed circuit in both stress and calm conditions. As hypothesized, cohort analysis revealed a significantly higher damped natural frequency for the stress condition (P = .023, d = 0.723). Subsequent automation of the method achieved rapid (i.e., within 8 turns) stress detection in the individual with a detection accuracy of 77%.

MEMS Sensor Devices with a Piezo-Resistive Cantilever

2018 ◽  
Vol 12 (1) ◽  
pp. 4-14
Author(s):  
Kiyoshi Matsumoto ◽  
Isao Shimoyama ◽  
◽  
Keyword(s):  
External Environment ◽  
Detection Sensitivity ◽  
Force Detection ◽  
Mems Sensor ◽  
Thin Structure ◽  
Sensor Devices ◽  
High Detection ◽  
Technical Features ◽  
Very High ◽  
High Detection Sensitivity

We have engaged in researching and developing a large number of sensor devices using piezo-resistive cantilevers. The important technical features of our sensor devices lie in their very high detection sensitivity that has been achieved by the use of cantilevers of a very thin structure: as a typical example, force-detection sensitivity of about 10 pN has been achieved by using cantilevers of 300-nm thickness. This paper presents our developed sensor devices and applications and their respective features: more specifically, devices to directly measure object-contacting forces, devices embedded in an elastic body to measure its deformations, devices to measure air flows and vibrations, devices to measure differential air pressure, devices to measure differential pressure between cavities and external environment, and devices with cantilevers arranged on the liquid interface.

scholarly journals Preload Effect Elimination Technique for Piezoelectric Force Touch Sensing in Human-Machine Interactivities

2020 ◽  
Author(s):  
Jiahui Shi ◽  
Junliang Chen ◽  
Jingjing Lin ◽  
Shuo Gao
Keyword(s):  
Piezoelectric Materials ◽  
Experimental Results ◽  
Detection Sensitivity ◽  
Detection Accuracy ◽  
Static Force ◽  
Force Detection ◽  
Voltage Responsivity ◽  
The Relationship ◽  
Interactive Displays

Piezoelectric touch sensing in interactive displays gains increasing attentions due to its high force detection sensitivity and intrinsic mechanical-to-electrical conversion ability. However, the instable force-voltage responsivity induced by preload effect of piezoelectric materials reduces the force detection accuracy of secondary force touches, which is important to touch and haptic applications such as peek-pop. To address this issue, in this article, we present a preload effect elimination technique, in which the relationship between the piezoelectric coefficients and static preload is studied first, and then the detected secondary force touch is calibrated by using the previously applied static force information. Experimental results demonstrate that the force detection accuracy is boosted by 15.17% after applying the developed technique to secondary force touches with different preload values, potentially allowing the system to precisely interpret secondary force touch amplitude and hence enhancing the development of touch sensing in interactive displays.

scholarly journals Preload Effect Elimination Technique for Piezoelectric Force Touch Sensing in Human-Machine Interactivities

2020 ◽  
Author(s):  
Jiahui Shi ◽  
Junliang Chen ◽  
Jingjing Lin ◽  
Shuo Gao
Keyword(s):  
Piezoelectric Materials ◽  
Experimental Results ◽  
Detection Sensitivity ◽  
Detection Accuracy ◽  
Static Force ◽  
Force Detection ◽  
Voltage Responsivity ◽  
The Relationship ◽  
Interactive Displays

Piezoelectric touch sensing in interactive displays gains increasing attentions due to its high force detection sensitivity and intrinsic mechanical-to-electrical conversion ability. However, the instable force-voltage responsivity induced by preload effect of piezoelectric materials reduces the force detection accuracy of secondary force touches, which is important to touch and haptic applications such as peek-pop. To address this issue, in this article, we present a preload effect elimination technique, in which the relationship between the piezoelectric coefficients and static preload is studied first, and then the detected secondary force touch is calibrated by using the previously applied static force information. Experimental results demonstrate that the force detection accuracy is boosted by 15.17% after applying the developed technique to secondary force touches with different preload values, potentially allowing the system to precisely interpret secondary force touch amplitude and hence enhancing the development of touch sensing in interactive displays.

scholarly journals A piezoelectric flexible insole system for gait monitoring for the Internet of Health Things

2020 ◽  
Author(s):  
Junliang Chen ◽  
Yanning Dai ◽  
Shuo Gao
Keyword(s):  
Real Time ◽  
Chronic Diseases ◽  
Experimental Results ◽  
Detection Sensitivity ◽  
The Internet ◽  
High Detection ◽  
Gait Monitoring ◽  
Continuous Working ◽  
High Detection Sensitivity

Gait is closely associated with many chronic diseases. With the development of the Internet of Health Things (IoHT), long-term gait monitoring and corresponding analysis can be performed remotely, reducing a patient’s time and traffic cost, while providing doctors more valuable gait information. The presented work provides a feasible means for real-time, long-term, and accurate gait monitoring in an IoHT scenario. Through the experimental results, the high detection sensitivity of 54 mN and responsivity of 163 mV/N are achieved, thereby satisfying the need for analyzing various diseases. Furthermore, 16 hours continuous working time indicates its successful utilization during long-term gait monitoring.

scholarly journals Piezoelectric Energy Harvesting Solutions: A Review

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3512 ◽  
Author(s):  
Corina Covaci ◽  
Aurel Gontean
Keyword(s):  
Energy Harvesting ◽  
Piezoelectric Effect ◽  
Piezoelectric Transducers ◽  
Piezoelectric Energy Harvesting ◽  
Piezoelectric Energy ◽  
Direct Piezoelectric Effect ◽  
Harvesting Technique ◽  
Different Shapes ◽  
Piezoelectric Devices ◽  
Review Current

The goal of this paper is to review current methods of energy harvesting, while focusing on piezoelectric energy harvesting. The piezoelectric energy harvesting technique is based on the materials’ property of generating an electric field when a mechanical force is applied. This phenomenon is known as the direct piezoelectric effect. Piezoelectric transducers can be of different shapes and materials, making them suitable for a multitude of applications. To optimize the use of piezoelectric devices in applications, a model is needed to observe the behavior in the time and frequency domain. In addition to different aspects of piezoelectric modeling, this paper also presents several circuits used to maximize the energy harvested.

Sign in / Sign up

Export Citation Format

Share Document