Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics DOI Creative Commons
Hong Zhou, Liangge Xu, Zhihao Ren

et al.

Nanoscale Advances, Journal Year: 2022, Volume and Issue: 5(3), P. 538 - 570

Published: Nov. 7, 2022

This review summarizes the integration of machine learning with surface-enhanced Raman scattering and infrared absorption in terms concepts, processes, applications, provides an outlook on future development this technology.

Language: Английский

Wearable Sensors‐Enabled Human–Machine Interaction Systems: From Design to Application DOI

Ruiyang Yin,

Depeng Wang, Shufang Zhao

et al.

Advanced Functional Materials, Journal Year: 2020, Volume and Issue: 31(11)

Published: Dec. 29, 2020

Abstract In comparison to traditional bulky and rigid electronic devices, the human–machine interaction (HMI) system with flexible wearable components is an inevitable future trend. To achieve effective, intuitive, seamless manipulation of high‐performance HMI systems, it important develop effective strategies for designing material microstructures on sensors electric devices excellent mechanical flexibility stretchability. The real‐time acquisition human physiology surrounding signals through accurate basis HMIs. Herein, construction a that utilizes sensors, communication modes, actuators reviewed. mechanisms various based different are analyzed discussed. functional mechanism, selection, novel design each part summarized in detail. modes interactive systems manufacturing technology soft machines also introduced. Additionally, most advanced applications intelligent identification security, controls robots, augmented reality, virtual reality have been highlighted. review concludes overview remaining key challenges several ideas regarding further improvement systems.

Language: Английский

Citations

549

Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin DOI Creative Commons
Zixuan Zhang, Feng Wen, Zhongda Sun

et al.

Advanced Intelligent Systems, Journal Year: 2022, Volume and Issue: 4(7)

Published: March 29, 2022

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

Language: Английский

Citations

314

Portable and wearable self-powered systems based on emerging energy harvesting technology DOI Creative Commons
Chen Xu, Yu Song, Mengdi Han

et al.

Microsystems & Nanoengineering, Journal Year: 2021, Volume and Issue: 7(1)

Published: March 17, 2021

A self-powered system based on energy harvesting technology can be a potential candidate for solving the problem of supplying power to electronic devices. In this review, we focus portable and wearable systems, starting with typical technology, introduce systems sensing functions. addition, demonstrate in actuation functions development toward intelligent under support information processing artificial intelligence technologies.

Language: Английский

Citations

298

Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications DOI
Quan Zhang, Tao Jin,

Jianguo Cai

et al.

Advanced Science, Journal Year: 2021, Volume and Issue: 9(4)

Published: Nov. 19, 2021

Gait and waist motions always contain massive personnel information it is feasible to extract these data via wearable electronics for identification healthcare based on the Internet of Things (IoT). There also remains a demand develop cost-effective human-machine interface enhance immersion during long-term rehabilitation. Meanwhile, triboelectric nanogenerator (TENG) revealing its merits in both IoT tends be possible solution. Herein, authors present TENG-based devices gait analysis motion capture intelligence performance lower-limb Four sensors are equidistantly sewed onto fabric belt recognize motion, enabling real-time robotic manipulation virtual game immersion-enhanced training. The insole equipped with two TENG designed walking status detection 98.4% accuracy five different humans aiming at rehabilitation plan selection achieved by leveraging machine learning technology further analyze signals. Through robot, demonstrate that sensory system performs well user recognition, monitoring, as robot gaming-aided training, showing potential IoT-based smart applications.

Language: Английский

Citations

295

Ultra‐Sensitive, Deformable, and Transparent Triboelectric Tactile Sensor Based on Micro‐Pyramid Patterned Ionic Hydrogel for Interactive Human–Machine Interfaces DOI Creative Commons
Kai Tao, Zhensheng Chen, Jiahao Yu

et al.

Advanced Science, Journal Year: 2022, Volume and Issue: 9(10)

Published: Jan. 31, 2022

Abstract Rapid advances in wearable electronics and mechno‐sensational human–machine interfaces impose great challenges developing flexible deformable tactile sensors with high efficiency, ultra‐sensitivity, environment‐tolerance, self‐sustainability. Herein, a hydrogel sensor (THS) based on micro‐pyramid‐patterned double‐network (DN) ionic organohydrogels to detect subtle pressure changes by measuring the variations of triboelectric output signal without an external power supply is reported. By first time pyramidal‐patterned fabrication method laminated polydimethylsiloxane (PDMS) encapsulation process, self‐powered THS shows advantages remarkable flexibility, good transparency (≈85%), excellent sensing performance, including extraordinary sensitivity (45.97 mV Pa −1 ), fast response (≈20 ms), very low limit detection (50 Pa) as well stability (36 000 cycles). Moreover, LiBr immersion treatment method, possesses long‐term hyper anti‐freezing anti‐dehydrating properties, broad environmental tolerance (−20 60 °C), instantaneous peak density 20 µW cm −2 , providing reliable contact outputs different materials detecting slight human motions. integrating acquisition/process circuit, self‐power ability utilized switching button control electric appliances robotic hands simulating finger gestures, offering its potentials for multi‐functional electronic applications.

Language: Английский

Citations

232

Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth DOI
Yanqin Yang, Xinge Guo, Minglu Zhu

et al.

Advanced Energy Materials, Journal Year: 2022, Volume and Issue: 13(1)

Published: Nov. 18, 2022

Abstract The advancement of the Internet Things/5G infrastructure requires a low‐cost ubiquitous sensory network to realize an autonomous system for information collection and processing, aiming at diversified applications ranging from healthcare, smart home, industry 4.0 environmental monitoring. triboelectric nanogenerator (TENG) is considered most promising technology due its self‐powered, cost‐effective, highly customizable advantages. Through use wearable electronic devices, advanced TENG developed as core enabling self‐powered sensors, power supplies, data communications aforementioned applications. In this review, advancements TENG‐based electronics regarding materials, material/device hybridization, systems integration, convergence, in environment monitoring, transportation, homes toward future green earth are reported.

Language: Английский

Citations

228

Energy Harvesting Techniques for Internet of Things (IoT) DOI Creative Commons
Teodora Sanislav, George Moiş, Sherali Zeadally

et al.

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 39530 - 39549

Published: Jan. 1, 2021

The rapid growth of the Internet Things (IoT) has accelerated strong interests in development low-power wireless sensors.Today, sensors are integrated within IoT systems to gather information a reliable and practical manner monitor processes control activities areas such as transportation, energy, civil infrastructure, smart buildings, environment monitoring, healthcare, defense, manufacturing, production.The long-term self-sustainable operation these devices must be considered early on when they designed implemented.Traditionally, have often been powered by batteries, which, despite allowing low overall system costs, can negatively impact lifespan performance entire network used in.Energy Harvesting (EH) technology is promising environment-friendly solution that extends lifetime sensors, and, some cases completely replaces use battery power.In addition, energy harvesting offers economic advantages through optimal provisioning lower maintenance costs.We review recent advances techniques for IoT.We demonstrate two using case studies.Finally, we discuss future research challenges addressed enable large-scale deployment solutions environments.

Language: Английский

Citations

214

Ultrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management DOI Creative Commons
Zhao Wang, Wenlin Liu, Wencong He

et al.

Joule, Journal Year: 2021, Volume and Issue: 5(2), P. 441 - 455

Published: Jan. 18, 2021

Language: Английский

Citations

211

Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator DOI
Zhongda Sun, Minglu Zhu, Zixuan Zhang

et al.

Advanced Science, Journal Year: 2021, Volume and Issue: 8(14)

Published: May 26, 2021

Rapid advancements of artificial intelligence things (AIoT) technology pave the way for developing a digital-twin-based remote interactive system advanced robotic-enabled industrial automation and virtual shopping. The embedded multifunctional perception is urged better interaction user experience. To realize such system, smart soft robotic manipulator presented that consists triboelectric nanogenerator tactile (T-TENG) length (L-TENG) sensor, as well poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With aid machine learning (ML) data processing, fusion T-TENG L-TENG sensors can automatic recognition grasped objects with accuracy 97.143% 28 different shapes objects, while distribution also be obtained through By leveraging IoT (AI) analytics, shop successfully implemented to provide users real-time feedback about details product. In general, by offering more immersive experience in human-machine interactions, proposed shows great potential being interface applications unmanned working space.

Language: Английский

Citations

211

Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things DOI Creative Commons

Xiaole Cao,

Yao Xiong, Jia Sun

et al.

Nano-Micro Letters, Journal Year: 2022, Volume and Issue: 15(1)

Published: Dec. 20, 2022

In the era of 5G and Internet things (IoTs), various human-computer interaction systems based on integration triboelectric nanogenerators (TENGs) IoTs technologies demonstrate feasibility sustainable self-powered functional systems. The rapid development intelligent applications TENGs mainly relies supplying harvested mechanical energy from surroundings implementing active sensing, which have greatly changed way human production daily life. This review introduced TENG in multidiscipline scenarios IoTs, including smart agriculture, industry, city, emergency monitoring, machine learning-assisted artificial intelligence applications. challenges future research directions toward also been proposed. extensive developments will push forward into an autonomy fashion.

Language: Английский

Citations

206