Spider-Inspired Ultrasensitive Flexible Vibration Sensor for Multifunctional Sensing

Liu, Ya-Feng; Li, Qun; Li, Yuanqing; Huang, Pei; Yao, Jianyao; Hu, Ning; Fu, Shao‐Yun

doi:10.1021/acsami.0c08884

Cited by 48 publications

(23 citation statements)

References 51 publications

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“…The Fast Fourier Transform (FFT) analysis of the sensor output signal shows the flexible sensor can detect the fundamental vibration frequency correctly, and harmonics generated (Figure 5 b ). The sensitivity of the vibration sensor can be calculated by for piezoelectrical sensor[61]. As for our piezoresistive sensor, the sensitivity was calculated using .…”

Section: Resultsmentioning

confidence: 99%

A Wide-bandwidth Nanocomposite-Sensor Integrated Smart Mask for Tracking Multi-phase Respiratory Activities for COVID-19 Endemic

Suo

Liu

et al. 2022

Preprint

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A global sentiment in early 2022 is that the COVID-19 virus could become endemic just like common cold flu viruses soon. The most optimistic view is that, with minimal precautions, such as vaccination, boosters and optional masking, life for most people will proceed as normal soon. However, as warned by A. Katzourakis of Oxford University recently, we must set aside lazy optimism, and must be realistic about the likely levels of death, disability and sickness that will be brought on by a 'COVID-19' endemic. Moreover, the world must also consider that continual circulation of the virus could give rise to new variants such as the new BA.2 variant (a subvariant of Omicron) continues to spread across the US and parts of Europe. Data from the CDC is already showing that BA.2 has been tripling in prevalence every two weeks. Hence, globally, we must use available and proven weapons to continue to fight the COVID-19 viruses, i.e., effective vaccines, antiviral medications, diagnostic tests and stop an airborne virus transmission through social distancing, and mask wearing. For this work, we have demonstrated a smart mask with an optimally-coupled ultra-thin flexible soundwave sensors for tracking, classifying, and recognizing different respiratory activities, including breathing, speaking, and two-/tri-phase coughing; the mask's functionality can also be augmented in the future to monitor other human physiological signals. Although researchers have integrated sensors into masks to detect respiratory activities in the past, they only based on measuring temperature and air flow during coughing, i.e., counting only the number of coughs. However, coughing is a process consisting of several phases, including an explosion of the air with glottal opening producing some noise-like waveform, a decrease of airflow to decrease sound amplitude, and a voiced stage which is the interruption of the air flow due to the closure of glottal and periodical vibration of partly glottis, which is not always present. Therefore, sensors used for cough detection should not be only sensitive to subtle air pressure but also the high-frequency vibrations, i.e., a pressure sensor that needs to be responsive to a wide input amplitude and bandwidth range, in order to detect air flows between hundreds of hertz from breath, and acoustic signals from voice that could reach ~ 8000 Hz. Respiratory activities data from thirty-one (31) human subjects were collected. Machine learning methods such as Support Vector Machines and Convolutional Neural Networks were used to classify the collected sensor data from the smart mask, which show an overall macro-recall of about 93.88% for the three respiratory sounds among all 31 subjects. For individual subjects, the 31 human subjects have the average macro-recall of 95.23% (ranging from 90% to 100%) for these 3 respiratory activities. Our work bridges the technological gap between ultra-lightweight but high-frequency response sensor material fabrication, signal transduction and conditioning, and applying machining learning algorithms to demonstrate a reliable wearable device for potential applications in continual healthy monitoring of subjects with cough symptoms during the eventual COVID-19 endemic. The monitoring and analysis of cough sound should be highly beneficial for human health management. These health monitoring data could then be shared with doctors via cloud storage and transmission technique to help disease diagnosis more effectively. Also, communication barriers caused by wearing masks can be alleviated by combining with the speech recognition techniques. In general, this research helps to advance the wearable device technology for tracking respiratory activities, similar to an Apple Watch or a Fitbit smartwatch in tracking physical and physiological activities.

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Section: Resultsmentioning

confidence: 99%

A Wide-bandwidth Nanocomposite-Sensor Integrated Smart Mask for Tracking Multi-phase Respiratory Activities for COVID-19 Endemic

Suo

Liu

et al. 2022

Preprint

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“…The capacity of detecting acceleration vibration could effectively expand the application area of the sensors. The performance comparison of the proposed sensor with a related flexible strain/vibration sensor ,,,,,− is shown in Table S1. Owing to the embedded sensing structure and crack-based widening sensing mechanism, the proposed sensing membrane shows both good sensitivity and stability.…”

Section: Results and Discussionmentioning

confidence: 99%

“…For example, piezoelectric ZnO nanowire arrays and polyvinylidene fluoride nanofibers were, respectively, used to construct a flexible biovibration sensor for detecting vibration of heartbeat pulses and sound waves. Flexible piezoresistive vibration sensors based on the multiwalled carbon nanotube (MWCNT)/polydimethylsiloxane (PDMS) film, graphene oxide/PDMS composite film, and coexisting cilia-crack structure were developed for motion signal acquisition, acoustic vibration sensing, and strain-induced multifunctional sensing. Being different from the prevailing nanocomposite piezoresistive sensors that rely on the sensing mechanism of altering nanofiller-formed conductive networks, Su and co-authors developed a new breed of nano-engineered nanocomposite piezoresistive sensors by exploiting the tunneling effect in the percolating nanofiller network that is triggered by traversing ultrasound, showing distinctive advantages in the field of ultrasonic-based structural health monitoring. − The abovementioned flexible sensors can only detect the vibration signals induced by directly contacted impacting and excited by bending of beams or acoustics but cannot monitor acceleration caused by vibrations.…”

Section: Introductionmentioning

confidence: 99%

Channel-Crack-Designed Suspended Sensing Membrane as a Fully Flexible Vibration Sensor with High Sensitivity and Dynamic Range

Chen

Qian

Shao

et al. 2021

ACS Appl. Mater. Interfaces

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Vibration sensors are essential for signal acquisition, motion measuring, and structural health evaluations in civil and industrial applications. However, the mechanical brittleness and complicated installation process of micro-electromechanical system vibration sensors block their applications in wearable devices and human−machine interaction. The development of flexible vibration sensors satisfying the requirements of good flexibility, high sensitivity, and the ability to attach conformably on curved critical components is highly demanded but still remains a challenge. Here, we demonstrate a highly sensitive and fully flexible vibration sensor with a channel-crack-designed suspended sensing membrane for high dynamic vibration and acceleration monitoring. The flexible sensor is designed as a suspended vibration membrane structure by bonding a channel-crack-sensing membrane on a cavity substrate, of which the suspended sensing membrane can freely vibrate out of plane under external vibration. By inducing the cracks to be generated in the embedded multiwalled carbon nanotube channels and fully cracked across the conducting routes, the suspended vibration membrane shows high sensitivity, good reproducibility, and robust sensing stability. The resultant vibration sensor demonstrates an ultrawide frequency vibration response range from 0.1 to 20,000 Hz and exhibits the ability to respond to acceleration vibration with a broad response of 0.24−100 m/s 2 . The high sensitivity, wide bandwidth, and fully flexible format of the vibration sensor enable it to be directly attached on human bodies and curvilinear surfaces to conduct in situ vibration sensing, which was demonstrated by motion detection, voice identification, and the vibration monitoring of mechanical equipment.

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“…When tiny external force applies, the slits are deformed and cilias are bended in axial direction, thus nerve impulse signals are produced and spiders perceive vibrations. [60,61] Inspired by this mechanism, we constructed the microfibers conductive network, which are shown in Figure 3b,c. It's clear that PANI@CNTs nanohybrids attach on the textile (Figure S3, Supporting Information).…”

Section: Microfibers Conductive Network and Strain-sensing Performancementioning

confidence: 99%

Multifunctional E‐Textiles Based on Biological Phytic Acid‐Doped Polyaniline/Protein Fabric Nanocomposites

Wang

Zhang

Cao

et al. 2021

Adv Materials Technologies

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Flexible sensors are the footstone of the internet‐of‐things as they combine one with the real world. However, to date, it's still a challenge to fabricate multifunctional and reliable sensors with ease of approach and eco‐friendly materials. Herein, a multifunctional electronic textile based on biological phytic acid‐doped hierarchically structured polyaniline/protein fabric nanocomposites, is presented. Benefiting from its property of transition in doping and de‐doping state, the E‐textile exhibits practicability in human‐machine interactions, environment monitoring, and flame retardance. Owing to the construction of microfibers conductive network, the E‐textile presents high strain sensitivity and ultralow detection limit (0.1% of strain) for monitoring tiny‐human motions accurately. Meanwhile, it exhibits speedy response to ammonia (1.3 s) and excellent flame retardance which can work steadily after the fire treatment. This novel and sustainable strategy of preparing high‐performance devices with bio‐materials broaden the opportunities for the development of eco‐friendly functional materials and devices.

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Spider-Inspired Ultrasensitive Flexible Vibration Sensor for Multifunctional Sensing

Cited by 48 publications

References 51 publications

A Wide-bandwidth Nanocomposite-Sensor Integrated Smart Mask for Tracking Multi-phase Respiratory Activities for COVID-19 Endemic

A Wide-bandwidth Nanocomposite-Sensor Integrated Smart Mask for Tracking Multi-phase Respiratory Activities for COVID-19 Endemic

Channel-Crack-Designed Suspended Sensing Membrane as a Fully Flexible Vibration Sensor with High Sensitivity and Dynamic Range

Multifunctional E‐Textiles Based on Biological Phytic Acid‐Doped Polyaniline/Protein Fabric Nanocomposites

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