Evolving Flexible Sensors, Wearable and Implantable Technologies Towards BodyNET for Advanced Healthcare and Reinforced Life Quality

He, Ting; Lee, Chengkuo

doi:10.1109/ojcas.2021.3123272

Cited by 50 publications

(24 citation statements)

References 203 publications

(149 reference statements)

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“…One important trend in developing sensors for IoT and smart home applications is toward higher wearability using advanced materials and structures. ,, Wearable sensors can be mainly divided into two categories: e-skin sensors − and textile sensors. − The e-skin sensors aim to perform their functions when attached to human skin, while textile sensors are woven into our daily clothes to achieve sensing purposes. Both of them are required to be compatible with human health and to withstand frequent body motions.…”

Section: Advanced Functional Materialsmentioning

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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Section: Advanced Functional Materialsmentioning

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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“…[49,50] TENGs can adopt a wide range of flexible and stretchable materials, such as fabric, silicone rubber, thin plastic film, and so on, and hence possess the advantages of facile fabrication and excellent wearability. [51][52][53][54][55] Though comparable to a piezoelectric-based sensor that enables self-powered sensing as well, TENGs featuring a wide range of materials and facile manufacturing processes stand out as a superior choice in providing easier designs and customizations than piezoelectric sensors. [56,57] In addition, because of the four simple operation modes, i.e., contact-separation mode, lateral-sliding mode, single-electrode mode, and freestanding triboelectric-layer mode, TENGs are better designed and applied for diversified interactive structures, such as touchpad interface, auditory-based interface, manipulator controller, etc.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

Zhang

Wen

Sun

et al. 2022

Advanced Intelligent Systems

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With the development of 5G and Internet of Things (IoT), the era of big data‐driven product design is booming. In addition, artificial intelligence (AI) is also emerging and evolving by recent breakthroughs in computing power and software architectures. In this regard, the digital twin, analyzing various sensor data with the help of AI algorithms, has become a cutting‐edge technology that connects the physical and virtual worlds, in which the various sensors are highly desirable to collect environmental information. However, although existing sensor technologies, including cameras, microphones, inertial measurement units, etc., are widely used as sensing elements for various applications, high‐power consumption and battery replacement of them is still a problem. Triboelectric nanogenerators (TENGs) as self‐powered sensors supply a feasible platform for realizing self‐sustainable and low‐power systems. Herein, the recent progress on TENG‐based intelligent systems, that is, wearable electronics, robot‐related systems, and smart homes, followed by prospective future development enabled by sensor fusion technology, is focused on. Finally, how to apply artificial intelligence to the design of intelligent sensor systems for the 5G and IoT era is discussed.

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“…In recent years, with the advancement of sensing and fabrication technologies, numerous micro-power Internet of Things (IoT) sensors and electronic devices have been developed rapidly [ 1 , 2 ], but how to achieve sustainable energy supply to such a large number of devices remains a grand challenge. The bulky size, limited service life, and environmental pollution issue of traditional chemical batteries have gradually become the bottlenecks restricting the further development of micro-power devices.…”

Section: Introductionmentioning

confidence: 99%

A Non-Resonant Piezoelectric–Electromagnetic–Triboelectric Hybrid Energy Harvester for Low-Frequency Human Motions

Tang

Wang

et al. 2022

Nanomaterials

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With the rapid development of wireless communication and micro-power technologies, smart wearable devices with various functionalities appear more and more in our daily lives. Nevertheless, they normally possess short battery life and need to be recharged with external power sources with a long charging time, which seriously affects the user experience. To help extend the battery life or even replace it, a non-resonant piezoelectric–electromagnetic–triboelectric hybrid energy harvester is presented to effectively harvest energy from low-frequency human motions. In the designed structure, a moving magnet is used to simultaneously excite the three integrated energy collection units (i.e., piezoelectric, electromagnetic, and triboelectric) with a synergistic effect, such that the overall output power and energy-harvesting efficiency of the hybrid device can be greatly improved under various excitations. The experimental results show that with a vibration frequency of 4 Hz and a displacement of 200 mm, the hybrid energy harvester obtains a maximum output power of 26.17 mW at 70 kΩ for one piezoelectric generator (PEG) unit, 87.1 mW at 500 Ω for one electromagnetic generator (EMG) unit, and 63 μW at 140 MΩ for one triboelectric nanogenerator (TENG) unit, respectively. Then, the generated outputs are adopted for capacitor charging, which reveals that the performance of the three-unit integration is remarkably stronger than that of individual units. Finally, the practical energy-harvesting experiments conducted on various body parts such as wrist, calf, hand, and waist indicate that the proposed hybrid energy harvester has promising application potential in constructing a self-powered wearable system as the sustainable power source.

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Evolving Flexible Sensors, Wearable and Implantable Technologies Towards BodyNET for Advanced Healthcare and Reinforced Life Quality

Cited by 50 publications

References 203 publications

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

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

Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

A Non-Resonant Piezoelectric–Electromagnetic–Triboelectric Hybrid Energy Harvester for Low-Frequency Human Motions

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