Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion DOI
Xinge Guo, Tianyiyi He, Zixuan Zhang

et al.

ACS Nano, Journal Year: 2021, Volume and Issue: 15(12), P. 19054 - 19069

Published: July 26, 2021

The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical support, such activity monitoring, tracing, accident alert. Here, we report powered by ultra-low-frequency human motion equipped with deep-learning-enabled advanced sensing features provide healthcare-monitoring platform for users. A linear-to-rotary structure is designed achieve highly efficient energy harvesting from linear ultralow frequency. Besides, two kinds self-powered triboelectric sensors are proposed integrated extract stick. Augmented functionalities high accuracies have enabled deep-learning-based data analysis, including identity recognition, disability evaluation, status distinguishing. Furthermore, self-sustainable Internet Things (IoT) system global positioning tracing environmental temperature humidity amenity functions obtained. Combined aforementioned functionalities, this demonstrated in various usage scenarios caregiver real-time well-being monitoring. caregiving shows being an intelligent aid users help them live life adequate autonomy safety.

Language: Английский

Technology Roadmap for Flexible Sensors DOI Creative Commons
Yifei Luo, Mohammad Reza Abidian, Jong‐Hyun Ahn

et al.

ACS Nano, Journal Year: 2023, Volume and Issue: 17(6), P. 5211 - 5295

Published: March 9, 2023

Humans rely increasingly on sensors to address grand challenges and improve quality of life in the era digitalization big data. For ubiquitous sensing, flexible are developed overcome limitations conventional rigid counterparts. Despite rapid advancement bench-side research over last decade, market adoption remains limited. To ease expedite their deployment, here, we identify bottlenecks hindering maturation propose promising solutions. We first analyze achieving satisfactory sensing performance for real-world applications then summarize issues compatible sensor-biology interfaces, followed by brief discussions powering connecting sensor networks. Issues en route commercialization sustainable growth sector also analyzed, highlighting environmental concerns emphasizing nontechnical such as business, regulatory, ethical considerations. Additionally, look at future intelligent sensors. In proposing a comprehensive roadmap, hope steer efforts towards common goals guide coordinated development strategies from disparate communities. Through collaborative efforts, scientific breakthroughs can be made sooner capitalized betterment humanity.

Language: Английский

Citations

747

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove DOI Creative Commons
Feng Wen, Zixuan Zhang, Tianyiyi He

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Sept. 10, 2021

Sign language recognition, especially the sentence is of great significance for lowering communication barrier between hearing/speech impaired and non-signers. The general glove solutions, which are employed to detect motions our dexterous hands, only achieve recognizing discrete single gestures (i.e., numbers, letters, or words) instead sentences, far from satisfying meet signers' daily communication. Here, we propose an artificial intelligence enabled sign recognition system comprising sensing gloves, deep learning block, virtual reality interface. Non-segmentation segmentation assisted model achieves 50 words 20 sentences. Significantly, approach splits entire signals into word units. Then recognizes all elements reversely reconstructs Furthermore, new/never-seen sentences created by new-order recombination can be recognized with average correct rate 86.67%. Finally, results projected space translated text audio, allowing remote bidirectional signers

Language: Английский

Citations

355

Flexible Wearable Sensors for Cardiovascular Health Monitoring DOI
Shuwen Chen, Jiaming Qi, Shicheng Fan

et al.

Advanced Healthcare Materials, Journal Year: 2021, Volume and Issue: 10(17)

Published: May 6, 2021

Abstract Cardiovascular diseases account for the highest mortality globally, but recent advances in wearable technologies may potentially change how these illnesses are diagnosed and managed. In particular, continuous monitoring of cardiovascular vital signs early intervention is highly desired. To this end, flexible sensors that can be comfortably worn over long durations gaining significant attention. review, advanced signals outlined discussed. Specifically, functional materials, configurations, mechanisms, heart rate, blood pressure, oxygen saturation, glucose highlighted. Different mechanisms bioelectric, mechano‐electric, optoelectric, ultrasonic presented to monitor from different body locations. Present challenges, possible strategies, future directions also With rapid development, will applicable both medical diagnosis daily healthcare use tackling diseases.

Language: Английский

Citations

306

Piezoelectric nanogenerators for personalized healthcare DOI
Weili Deng, Yihao Zhou, Alberto Libanori

et al.

Chemical Society Reviews, Journal Year: 2022, Volume and Issue: 51(9), P. 3380 - 3435

Published: Jan. 1, 2022

Piezoelectric nanogenerators are becoming a compelling bioelectronics platform technology for human-associated energy harvesting, self-powered sensing, and therapeutics, which will largely contribute to the medical field in era of Internet things.

Language: Английский

Citations

299

Breathable Ti3C2Tx MXene/Protein Nanocomposites for Ultrasensitive Medical Pressure Sensor with Degradability in Solvents DOI

Mingyuan Chao,

Lingzhang He,

Min Gong

et al.

ACS Nano, Journal Year: 2021, Volume and Issue: 15(6), P. 9746 - 9758

Published: June 3, 2021

Flexible, breathable, and degradable pressure sensors with excellent sensing performance are drawing tremendous attention for various practical applications in wearable artificial skins, healthcare monitoring, intelligence due to their flexibility, breathability, lightweight, decreased electronic rubbish, environmentally friendly impact. However, traditional plastic or elastomer substrates impermeability, uncomfortableness, mechanical mismatches, nondegradability greatly restricted applications. Therefore, the fabrication of such high facile degradability, breathability is still a critical challenge highly desired. Herein, we present wearable, degradable, sensitive MXene/protein nanocomposites-based sensor. The fabricated MXene/protein-based sensor assembled from breathable conductive MXene coated silk fibroin nanofiber (MXene-SF) membrane patterned ink-printed (MXene ink-SF) interdigitated electrode, which can serve as layer electrode layer, respectively. exhibits wide range (up 39.3 kPa), sensitivity (298.4 kPa-1 1.4-15.7 kPa; 171.9 15.7-39.3 fast response/recovery time (7/16 ms), reliable cycling stability over 10 000 cycles, good biocompatibility, robust degradability. Furthermore, it shows great monitoring human psychological signals, acting an skin quantitative illustration distribution, wireless biomonitoring real time. Considering biodegradable features, may become promising find potential smart motion detection, disease diagnosis, human-machine interaction.

Language: Английский

Citations

293

Fabrication of hierarchically porous structured PDMS composites and their application as a flexible capacitive pressure sensor DOI
Juwon Hwang, Yeongjun Kim, Hyeondong Yang

et al.

Composites Part B Engineering, Journal Year: 2021, Volume and Issue: 211, P. 108607 - 108607

Published: Jan. 12, 2021

Language: Английский

Citations

289

Advances in graphene-based flexible and wearable strain sensors DOI
Hui Chen,

Fengling Zhuo,

Jian Zhou

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 464, P. 142576 - 142576

Published: March 22, 2023

Language: Английский

Citations

219

Naturally sourced hydrogels: emerging fundamental materials for next-generation healthcare sensing DOI
Zhenwu Wang, Hua Wei, Youju Huang

et al.

Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(9), P. 2992 - 3034

Published: Jan. 1, 2023

The flourishing development of flexible healthcare sensing systems is inseparable from the fundamental materials with application-oriented mechanical and electrical properties. Thanks to continuous inspiration our Mother Nature, hydrogels originating natural biomass are attracting growing attention for their structural functional designs owing unique chemical, physical biological These highly efficient architectural enable them be most promising candidates electronic devices. This comprehensive review focuses on recent advances in naturally sourced constructing multi-functional sensors applications thereof. We first briefly introduce representative polymers, including polysaccharides, proteins, polypeptides, summarize physicochemical design principles fabrication strategies hydrogel based these polymers outlined after material properties required presented. then highlight various techniques devices, illustrate examples wearable or implantable bioelectronics pressure, strain, temperature, biomarker field systems. Finally, concluding remarks challenges prospects hydrogel-based provided. hope that this will provide valuable information next-generation build a bridge between as matter an applied target accelerate new near future.

Language: Английский

Citations

201

A high-accuracy, real-time, intelligent material perception system with a machine-learning-motivated pressure-sensitive electronic skin DOI Creative Commons
Wei Xiao, Hao Li, Wenjing Yue

et al.

Matter, Journal Year: 2022, Volume and Issue: 5(5), P. 1481 - 1501

Published: March 15, 2022

Language: Английский

Citations

187

The new generation of soft and wearable electronics for health monitoring in varying environment: From normal to extreme conditions DOI
Yan Niu, Hao Liu,

Rongyan He

et al.

Materials Today, Journal Year: 2020, Volume and Issue: 41, P. 219 - 242

Published: Nov. 5, 2020

Language: Английский

Citations

181