Human joint enabled flexible self-sustainable sweat sensors

Li, Hu; Chang, Tianrui; Gai, Yansong; Liang, Kui; Jiao, Yanli; Li, Dengfeng; Jiang, Xinran; Wang, Yan; Huang, Xingcan; Wu, Han; Liu, Yiming; Li, Jian; Bai, Ye; Geng, Kai; Zhang, Nianrong; Hua, Meng; Huang, Danqiong; Li, Zhou; Yu, Xinge; Chang, Lingqian

doi:10.1016/j.nanoen.2021.106786

Cited by 58 publications

(45 citation statements)

References 64 publications

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“…Influenced by motion artifacts, hydrogels with weak extensibility have low monitoring accuracy when applied to the skin. 14,15 Besides, the presence of additional adhesives in e-skin can significantly hinder the signal transmission sensitivity. 16 Therefore, it is very important to prepare self-adhesive conformal hydrogels with good extensibility.…”

Section: Introductionmentioning

confidence: 99%

Supramolecular topology controlled self-healing conformal hydrogels for stable human–machine interfaces

et al. 2022

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Section: Introductionmentioning

confidence: 99%

Supramolecular topology controlled self-healing conformal hydrogels for stable human–machine interfaces

et al. 2022

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“…In addition to the physical-related sensory information, relevant physiological parameters also play an important role in monitoring people’s daily health conditions and can be utilized as a valuable reference for medical diagnosis in smart homes. , Based on this consideration, Li et al developed a self-sustainable wearable sweat sensor as depicted in Figure . Different from the above-mentioned works that use mechanical sensors based on piezoelectric/triboelectric materials for physiological information monitoring, the flexible PENG unit in this work is to collect the biomechanical energy of human joint movements during daily activities, which can be further utilized as the power source of the sweat sensor array, i.e ., ion-selective electrodes, to achieve a battery-free system.…”

Section: Wearable Devicesmentioning

confidence: 99%

“…In this regard, self-sustained devices and systems that can operate independently without external power supplies are highly promising and desirable. Energy harvesters are the key enabler for such self-sustained systems, since they can scavenge the ambient available energy and convert it into electricity as the power source. − Differentiated by the transducing mechanisms, energy harvesters can be classified into different types, e.g ., photovoltaic or solar cell based on the photovoltaic effect, thermoelectric generator (TEG) based on the Seebeck effect, − pyroelectric nanogenerator (PyENG) based on the pyroelectric effect, , electromagnetic generator (EMG) based on the electromagnetic induction, − piezoelectric nanogenerator (PENG) based on the piezoelectric effect, − triboelectric nanogenerator (TENG) based on the contact electrification and electrostatic induction, − etc . Since its first invention in 2012, TENG has been vastly investigated and proven as a highly promising energy harvesting technology for ubiquitous mechanical energy harvesting (human activities, vibration, wave, wind, rain, etc .…”

Section: Introductionmentioning

confidence: 99%

Progress of Advanced Devices and Internet of Things Systems as Enabling Technologies for Smart Homes and Health Care

et al. 2022

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In the Internet of Things (IoT) era, various devices (e.g., sensors, actuators, energy harvesters, etc.) and systems have been developed toward the realization of smart homes/buildings and personal health care. These advanced devices can be categorized into ambient devices and wearable devices based on their usage scenarios, to enable motion tracking, health monitoring, daily care, home automation, fall detection, intelligent interaction, assistance, living convenience, and security in smart homes. With the rapidly increasing number of such advanced devices and IoT systems, achieving fully self-sustained and multimodal intelligent systems is becoming more and more important to realize a sustainable and all-in-one smart home platform. Hence, in this Review, we systematically present the recent progress of the development of advanced materials, fabrication techniques, devices, and systems for enabling smart home and health care applications. First, advanced polymer, fiber, and fabric materials as well as their respective fabrication techniques for large-scale manufacturing are discussed. After that, functional devices classified into ambient devices (at home ambiance such as door, floor, table, chair, bed, toilet, window, wall, etc.) and wearable devices (on body parts such as finger, wrist, arm, throat, face, back, etc.) are presented for diverse monitoring and auxiliary applications. Next, the current developments of self-sustained systems and intelligent systems are reviewed in detail, indicating two promising research directions in this field. Last, conclusions and outlook pinpointed on the existing challenges and opportunities are provided for the research community to consider.

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“…Currently, on-skin electronics have progressed swiftly from onefold function to detecting sophisticated variables synchronously. Potential strategies, including structured resistive, impedance and/or capacitive ionotronics, and bioinspired structures, have been demonstrated to detect pressure, temperature, proximity, slip/friction force, vibration, and/or biofluid component analysis , simultaneously. Recently, with the imperious demands of dexterous perception, synergistically monitoring the proximity-contact events has been attracting broad research interest in tactile sensing.…”

Section: Introductionmentioning

confidence: 99%

Optical Microfibers for Sensing Proximity and Contact in Human–Machine Interfaces

Liu

Song

Wang

et al. 2022

ACS Appl. Mater. Interfaces

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The monitoring of proximity-contact events is essential for human–machine interactions, intelligent robots, and healthcare monitoring. We report a dual-modal sensor made with two functionalized optical microfibers (MFs), which is inspired by the somatosensory system of human skin. The integrated sensor with a hierarchical structure gradationally detects finger approaching and touching by measuring the relative humidity (RH) and force-triggered light intensity variations. Specifically, the RH sensory part shows enhanced evanescent absorption, achieving a sensitive RH measurement with a fast response (110 ms), a high resolution (0.11%RH), and a wide working range (10–100%RH). Enabled by the transition from guided modes into radiation modes of the waveguiding MF, the force sensory part exhibits a high sensitivity (6.2%/kPa) and a fast response (up to 1.5 kHz). By using a real-time data processing unit, the proximity-contact sensor (PCS) achieves continuous detection of the full-contact events, including finger approaching, contacting, pressing, releasing, and leaving. As a proof of concept, the electromagnetic-interference-free PCS enables a smart switch system to recognize the proximity and contact of bare/gloved fingers. Moreover, skin humidity detection and respiration monitoring are realized. These initial results pave the way toward a category of optical collaborative devices ranging from human–machine interfaces to multifunctional on-skin healthcare sensors.

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Human joint enabled flexible self-sustainable sweat sensors

Cited by 58 publications

References 64 publications

Supramolecular topology controlled self-healing conformal hydrogels for stable human–machine interfaces

Supramolecular topology controlled self-healing conformal hydrogels for stable human–machine interfaces

Progress of Advanced Devices and Internet of Things Systems as Enabling Technologies for Smart Homes and Health Care

Optical Microfibers for Sensing Proximity and Contact in Human–Machine Interfaces

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