Measurement, Journal Year: 2024, Volume and Issue: 227, P. 114123 - 114123
Published: Jan. 10, 2024
Language: Английский
Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 15(1)
Published: April 15, 2023
Growing health awareness triggers the public's concern about problems. People want a timely and comprehensive picture of their condition without frequent trips to hospital for costly cumbersome general check-ups. The wearable technique provides continuous measurement method monitoring by tracking person's physiological data analyzing it locally or remotely. During process, different kinds sensors convert signals into electrical optical that can be recorded transmitted, consequently playing crucial role in techniques. Wearable application scenarios usually require possess excellent flexibility stretchability. Thus, designing flexible stretchable with reliable performance is key technology. Smart composite hydrogels, which have tunable properties, mechanical biocompatibility, multi-stimulus sensitivity, are one best sensitive materials monitoring. This review summarizes common synthetic optimization strategies smart hydrogels focuses on current field
Language: Английский
Citations
169
Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 16(1)
Published: Nov. 13, 2023
The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.
Language: Английский
Citations
112
Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(18), P. 11137 - 11189
Published: Sept. 7, 2023
Architected flexible electronic devices with rationally designed 3D geometries have found essential applications in biology, medicine, therapeutics, sensing/imaging, energy, robotics, and daily healthcare. Mechanically-guided assembly methods, exploiting mechanics principles of materials structures to transform planar fabricated using mature semiconductor techniques into architected ones, are promising routes such devices. Here, we comprehensively review mechanically-guided methods for electronics. Mainstream classified discussed on the basis their fundamental deformation modes (i.e., rolling, folding, curving, buckling). Diverse interconnects device forms then summarized, which correspond two key components an device. Afterward, structure-induced functionalities highlighted provide guidelines function-driven structural designs electronics, followed by a collective summary resulting applications. Finally, conclusions outlooks given, covering achieve extreme deformations dimensions, inverse design encapsulation strategies as well perspectives future
Language: Английский
Citations
66
Nano Energy, Journal Year: 2023, Volume and Issue: 113, P. 108559 - 108559
Published: May 26, 2023
Language: Английский
Citations
50
National Science Review, Journal Year: 2023, Volume and Issue: 11(2)
Published: Nov. 27, 2023
ABSTRACT Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount random and unidentified signals generated by complex body motions has hindered precise recognition practical application this technology. Recent advancements artificial-intelligence technology enabled significant strides extracting features from massive intricate data sets, thereby presenting breakthrough utilizing applications. Beyond traditional machine-learning techniques classifying simple gestures, advanced algorithms been developed handle more nuanced tasks with restricted training sets. Machine-learning improved ability perceive, thus machine-learned soft accurate rapid human-gesture recognition, providing real-time feedback users. This forms crucial component future electronics, contributing robust human–machine interface. In review, we provide comprehensive summary covering materials, structures hand-gesture possible through sensors.
Language: Английский
Citations
43
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(29)
Published: April 15, 2024
Abstract Soft robots have recently attracted increasing interest due to their advantages in durability, flexibility, and deformability, which enable them adapt unstructured environments perform various complex tasks. Perception is crucial for soft robots. To better mimic biological systems, sensors need be integrated into robotic systems obtain both proprioceptive external perception effective usage. This review summarizes the latest advancements flexible sensing feedback technologies applications. It begins with an introduction development of robots, followed by in‐depth exploration smart materials advanced manufacturing methods. A detailed description modalities methodologies also included illustrate continuous breakthrough technology. In addition, applications based on these are concluded as well. The challenges promising solutions finally discussed analyzed provide a prospect future development. By examining recent advances intelligent technologies, this dedicated highlighting potential robotics motivating innovation within field.
Language: Английский
Citations
32
Nano Energy, Journal Year: 2024, Volume and Issue: 128, P. 109817 - 109817
Published: May 31, 2024
Language: Английский
Citations
26
ACS Nano, Journal Year: 2024, Volume and Issue: 18(39), P. 26435 - 26476
Published: Sept. 17, 2024
The burgeoning demands for health care and human-machine interfaces call the next generation of multifunctional integrated sensor systems with facile fabrication processes reliable performances. Laser-induced graphene (LIG) highly tunable physical chemical characteristics plays vital roles in developing versatile skin-like flexible or stretchable systems. This Progress Report presents an in-depth overview latest advances LIG-based techniques applications sensors. First, merits LIG technique are highlighted especially as building blocks sensors, followed by description various methods its variants. Then, focus is moved to diverse including electrophysiological Mechanisms advantages these scenarios described detail. Furthermore, representative paradigms presented show capabilities multipurpose applications. signal cross-talk issues discussed possible strategies. technology functionalities coupled other strategies will enable high-performance next-generation skin electronics.
Language: Английский
Citations
22
Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(17), P. 9899 - 9948
Published: Aug. 28, 2024
Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic capabilities of human skin, a multitude flexible/stretchable sensors that detect physiological environmental signals been designed integrated into functional systems. Recently, researchers increasingly deployed machine learning other artificial intelligence (AI) technologies to neural system for processing analysis sensory data collected by e-skins. Integrating AI has potential enable advanced applications robotics, healthcare, human–machine interfaces but also presents challenges such as diversity model robustness. In this review, we first summarize functions features e-skins, followed feature extraction different models. Next, discuss utilization design e-skin address key topic implementation e-skins accomplish range tasks. Subsequently, explore hardware-layer in-skin before concluding with an opportunities various aspects AI-enabled
Language: Английский
Citations
21
Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 2958 - 2958
Published: May 7, 2024
Machine learning and deep technologies are rapidly advancing the capabilities of sensing technologies, bringing about significant improvements in accuracy, sensitivity, adaptability. These advancements making a notable impact across broad spectrum fields, including industrial automation, robotics, biomedical engineering, civil infrastructure monitoring. The core this transformative shift lies integration artificial intelligence (AI) with sensor technology, focusing on development efficient algorithms that drive both device performance enhancements novel applications various engineering fields. This review delves into fusion ML/DL shedding light their profound design, calibration compensation, object recognition, behavior prediction. Through series exemplary applications, showcases potential AI to significantly upgrade functionalities widen application range. Moreover, it addresses challenges encountered exploiting these for offers insights future trends advancements.
Language: Английский
Citations
20