Smart Tactile Gloves for Haptic Interaction, Communication, and Rehabilitation DOI
Oliver Ozioko, Ravinder Dahiya

Advanced Intelligent Systems, Год журнала: 2021, Номер 4(2)

Опубликована: Сен. 12, 2021

Wearable human machine interfaces (HMI) such as smart gloves have attracted considerable interest in recent years. The quality of the interactive experience with real and virtual world using wearable HMI technologies depends on intuitive two‐way haptic they offer real‐time touch‐based information send receive. Herein, various glove solutions their application interaction, rehabilitation, (VR) augmented reality (AR), augmentative alternative communication (AAC) tasks are reviewed. While early variants systems were based commercial touch sensors displays integrated (e.g., stitched) wearables, electronic skin (e‐skin)‐type multifunctional capabilities being explored nowadays for rich user comfort. In this regard, instead separate actuators, miniaturized devices providing both sensing vibrotactile actuation also been reported recently. Such advances, associated challenges, advantages users to enjoy full characteristic benefits VR/ARs immersion, imagination discussed. Finally, huge potential smart‐glove‐type hold advances areas robotics, health care, sensorial augmentation nondisabled tactile Internet is

Язык: Английский

Progress inTENGtechnology—A journey from energy harvesting to nanoenergy and nanosystem DOI Creative Commons
Jianxiong Zhu, Minglu Zhu, Qiongfeng Shi

и другие.

EcoMat, Год журнала: 2020, Номер 2(4)

Опубликована: Окт. 11, 2020

Abstract Triboelectric nanogenerator (TENG) technology is a promising research field for energy harvesting and nanoenergy nanosystem (NENS) in the aspect of mechanical, electrical, optical, acoustic, fluidic, so on. This review systematically reports progress TENG technology, terms energy‐boosting, emerging materials, self‐powered sensors, NENS, its further integration with other potential technologies. Starting from mechanisms including ways charge generation we introduce applications harvesters to various kinds that is, physical chemical/gas sensors. After that, NENS are discussed, such as blue energy, human‐machine interfaces (HMIs), neural interfaces/implanted devices, optical interface/wearable photonics. Moving new directions beyond TENG, depict hybrid technologies, dielectric‐elastomer‐enhancement, self‐healing, shape‐adaptive capability, self‐sustained and/or internet things (IoT). Finally, outlooks conclusions about future development trends technologies discussed toward multifunctional intelligent systems. image

Язык: Английский

Процитировано

271

Technology evolution from self-powered sensors to AIoT enabled smart homes DOI
Bowei Dong, Qiongfeng Shi, Yanqin Yang

и другие.

Nano Energy, Год журнала: 2020, Номер 79, С. 105414 - 105414

Опубликована: Сен. 28, 2020

Язык: Английский

Процитировано

269

Triboelectric nanogenerator based self-powered sensor for artificial intelligence DOI

Yuankai Zhou,

Maoliang Shen, Xin Cui

и другие.

Nano Energy, Год журнала: 2021, Номер 84, С. 105887 - 105887

Опубликована: Фев. 16, 2021

Язык: Английский

Процитировано

268

Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems DOI
Minglu Zhu, Tianyiyi He, Chengkuo Lee

и другие.

Applied Physics Reviews, Год журнала: 2020, Номер 7(3)

Опубликована: Авг. 31, 2020

With the prospect of a smart society in foreseeable future, humans are experiencing an increased link to electronics digital world, which can benefit our life and productivity drastically. In recent decades, advances Human Machine Interface (HMI) have improved from tactile sensors, such as touchpads joysticks, now include accurate detection dexterous body movements more diversified sophisticated devices. Advancements highly adaptive machine learning techniques, neural interfaces, neuromorphic sensing generated potential for economic feasible solution next-generation applications wearable HMIs with intimate multi-directional capabilities. This review offers general knowledge HMI technologies beginning sensors their piezoresistive, capacitive, piezoelectric, triboelectric mechanisms. A further discussion is given on how learning, be used enhance upcoming 5 G infrastructure advancements internet things artificial intelligence near future. The efficient interactions kinetic physiological signals human through fusion sensor will bring revolution both advanced manipulation medical rehabilitation.

Язык: Английский

Процитировано

249

Artificial tactile perception smart finger for material identification based on triboelectric sensing DOI Creative Commons
Xuecheng Qu, Zhuo Liu, Puchuan Tan

и другие.

Science Advances, Год журнала: 2022, Номер 8(31)

Опубликована: Авг. 5, 2022

Tactile perception includes the direct response of tactile corpuscles to environmental stimuli and psychological parameters associated with brain recognition. To date, several artificial haptic-based sensing techniques can accurately measure physical stimuli. However, quantifying achieve texture roughness identification remains challenging. Here, we developed a smart finger surpassed human perception, which enabled accurate material type through integration triboelectric machine learning. In principle, as each has different capabilities gain or lose electrons, unique fingerprint output will be generated when sensor is in contact measured object. The construction array could further eliminate interference from environment, accuracy rate was high 96.8%. proposed provides possibility impart manipulators prosthetics.

Язык: Английский

Процитировано

242

Making use of nanoenergy from human – Nanogenerator and self-powered sensor enabled sustainable wireless IoT sensory systems DOI
Minglu Zhu, Zhiran Yi, Bin Yang

и другие.

Nano Today, Год журнала: 2020, Номер 36, С. 101016 - 101016

Опубликована: Ноя. 7, 2020

Язык: Английский

Процитировано

236

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

и другие.

Advanced Energy Materials, Год журнала: 2022, Номер 13(1)

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

231

Recent progress in blue energy harvesting for powering distributed sensors in ocean DOI
Tiancong Zhao, Minyi Xu, Xiu Xiao

и другие.

Nano Energy, Год журнала: 2021, Номер 88, С. 106199 - 106199

Опубликована: Июнь 1, 2021

Язык: Английский

Процитировано

221

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

и другие.

Advanced Science, Год журнала: 2021, Номер 8(14)

Опубликована: Май 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.

Язык: Английский

Процитировано

212

Recent Advances in Carbon Material‐Based Multifunctional Sensors and Their Applications in Electronic Skin Systems DOI

Yunjian Guo,

Wei Xiao, Song Gao

и другие.

Advanced Functional Materials, Год журнала: 2021, Номер 31(40)

Опубликована: Июль 11, 2021

Abstract Electronic skin (e‐skin) is driving significant advances in flexible electronics as it holds great promise health monitoring, human–machine interfaces, soft robotics, and so on. Flexible sensors that can detect various stimuli or have multiple properties play an indispensable role e‐skin. Despite tremendous research efforts devoted to with excellent performance regarding a certain sensing mode property, emerging e‐skin demands multifunctional be endowed the skin‐like capability beyond. Considering outstanding superiorities of electrical conductivity, chemical stability, ease functionalization, carbon materials are adopted implement sensors. In this review, latest carbon‐based regard types detection modes abundant introduced. The corresponding preparation process, device structure, mechanism, obtained performance, intriguing applications highlighted. Furthermore, diverse systems by integrating current cutting‐edge technologies (e.g., data acquisition transmission, neuromorphic technology, artificial intelligence) systematically investigated detail. Finally, existing problems future developing directions also proposed.

Язык: Английский

Процитировано

212