Efficient energy harvesting from human motion using wearable piezoelectric shell structures

Yang, Boram; Yun, Kwang-Seok

doi:10.1109/transducers.2011.5969874

Cited by 18 publications

(9 citation statements)

References 13 publications

(10 reference statements)

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“…However, the fact of using a custom-made generator implies high costs and difficulties for reproducibility. A similar case is presented in [33] with a piezoelectric shell structure to scavenge energy from arm bending and stretching motions. Additionally, results in [33] are presented only in open circuit condition.…”

Section: Related Workmentioning

confidence: 99%

“…A similar case is presented in [33] with a piezoelectric shell structure to scavenge energy from arm bending and stretching motions. Additionally, results in [33] are presented only in open circuit condition. Another structure for finger-motion kinetic harvesting is reported in [34], but this structure is tested only with resistive loads to characterize the voltage output.…”

Section: Related Workmentioning

confidence: 99%

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An Energy Logger for Kinetic-Powered Wrist-Wearable Systems

Manjarrés

Pardo

2020

Electronics

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Kinetic energy harvesting is a promising technology towards the development of alternative battery-charging schemes or even self-powered wearable devices that obtain their power supply from human motion. Although there are many developments with schemes that leverage piezoelectric materials and human motion to power devices especially from footsteps, some other body locations like the wrist still need assessment with piezoelectric generators to evaluate their potential of limitations. In this work, we present the results of logging the energy transference from a wrist-worn piezoelectric harvester to a battery in a wearable device. This system is the continuation of our previous work where we implemented the harvester with a resistive load previously tuned to obtain maximum power and assessed the energy harvested during physical activities. Now, we replace the linear load with a charge controller and a Li-ion battery in the same wearable set-up. These new conditions are not optimal for the piezoelectric generator but present a more realistic environment for the kinetic harvester and allows a more precise study of the feasibility of a self-powered system. Tests show that five minutes of activities that involve arm motion can provide between 1.75 mJ and 2.98 mJ of energy, which can represent between 3.6 seconds and 6.2 seconds of additional battery duration. Hence, these results provide an insight of the limitations and challenges remaining in the piezoelectric-based kinetic harvesting field for wearable devices.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Energy Logger for Kinetic-Powered Wrist-Wearable Systems

Manjarrés

Pardo

2020

Electronics

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“…To increase the sensitivity of the PVDF sensor, we fabricated a half-cylinder backing with flexible silica gel. (27)(28)(29) We fixed the PVDF film on the backing to make it form an arch shape.…”

Section: Operating Principlementioning

confidence: 99%

Method of Finger Motion Recognition Based on Polyvinylidene Fluoride Sensor Array

Yao-hui¹,

Xie²,

Chen³

et al. 2019

Sensors and Materials

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Finger motion recognition is one of the key technologies of human-computer interaction based on gestures. In this paper, we propose a method of recognizing finger motions by using a wearable wrist device (WWD). This method not only avoids the problem that the user's hands are limited by wearing motion detection sensors, but also avoids the problem that vision-sensorbased gesture recognition technology is difficult to use in a mobile environment. Moreover, this method, which uses polyvinylidene fluoride (PVDF) sensors as the detection units of WWD, has the advantages of being noninvasive, comfortable, and convenient. In this work, we first studied the distribution and optimization of the PVDF sensor array, and used this array to complete the acquisition of wrist motion signals. Then, we used short-term energy to solve the problems of the real-time detection of motion signals' endpoints and the extraction of motion signal fragments. Then, we encoded these fragments into 64-digit eigenvectors for finger motion recognition. In the experiment, we transmitted the eigenvectors as input values into a four-layer back propagation (BP) network to recognize three essential finger motions for mouse control. The experimental results show that the recognition effect of this method is satisfactory and the recognition accuracy is up to 96.7%.

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“…Bomm Yang and et al [18] made full use of the soft properties of PVDF materials and proposed an effective shell structure for energy harvesting from twist joint. PVDF polymer film was attached on the curved shell structure, which was used to protect twist joint, as shown in Figure 11.…”

Section: Pehs Through Arm Motionmentioning

confidence: 99%

On Piezoelectric Energy Harvesting from Human Motion

Sun¹,

Gao²,

Wang³

2019

JPEE

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With the rapid development of low-power communication technology and microelectronics technology, wearable and portable embedded health monitoring devices, micro-sensors, and human body network positioning devices have begun to appear. For seeking reliable energy sources to replace battery on these devices, it is of great significance for developing low power products to explore the research of piezoelectric effect in conversion of human motion into electricity. Based on the different human motions, the existing technology of piezoelectric energy harvester (PEH) is firstly classified, including PEHs through heel-strike, knee-joint, arm motion, center of mass. The technology is then summarized and the direction of future development and efforts is further pointed out.

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Efficient energy harvesting from human motion using wearable piezoelectric shell structures

Cited by 18 publications

References 13 publications

An Energy Logger for Kinetic-Powered Wrist-Wearable Systems

An Energy Logger for Kinetic-Powered Wrist-Wearable Systems

Method of Finger Motion Recognition Based on Polyvinylidene Fluoride Sensor Array

On Piezoelectric Energy Harvesting from Human Motion

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