Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Сен. 5, 2022

Abstract Advancements of virtual reality technology pave the way for developing wearable devices to enable somatosensory sensation, which can bring more comprehensive perception and feedback in metaverse-based society. Here, we propose augmented tactile-perception haptic-feedback rings with multimodal sensing capabilities. This highly integrated ring consists triboelectric pyroelectric sensors tactile temperature perception, vibrators nichrome heaters vibro- thermo-haptic feedback. All these components on be directly driven by a custom wireless platform low power consumption wearable/portable scenarios. With voltage integration processing, high-resolution continuous finger motion tracking is achieved via sensor, also contributes superior performance gesture/object recognition artificial intelligence analysis. By fusing functions, an interactive metaverse cross-space capability successfully achieved, giving people face-to-face like immersive social experience.

Язык: Английский

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

Advanced Intelligent Systems, Год журнала: 2022, Номер 4(7)

Опубликована: Март 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.

Язык: Английский

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Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications

Advanced Science, Год журнала: 2021, Номер 9(4)

Опубликована: Ноя. 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.

Язык: Английский

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Artificial tactile perception smart finger for material identification based on triboelectric sensing

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

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Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth

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

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Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator

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

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Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things

Nano-Micro Letters, Год журнала: 2022, Номер 15(1)

Опубликована: Дек. 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.

Язык: Английский

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Smart and Multifunctional Materials Based on Electroactive Poly(vinylidene fluoride): Recent Advances and Opportunities in Sensors, Actuators, Energy, Environmental, and Biomedical Applications

Chemical Reviews, Год журнала: 2023, Номер 123(19), С. 11392 - 11487

Опубликована: Сен. 20, 2023

From scientific and technological points of view, poly(vinylidene fluoride), PVDF, is one the most exciting polymers due to its overall physicochemical characteristics. This polymer can crystalize into five crystalline phases be processed in form films, fibers, membranes, specific microstructures, being physical properties controllable over a wide range through appropriate chemical modifications. Moreover, PVDF-based materials are characterized by excellent chemical, mechanical, thermal, radiation resistance, for their outstanding electroactive properties, including high dielectric, piezoelectric, pyroelectric, ferroelectric response, best among systems thus noteworthy an increasing number technologies. review summarizes critically discusses latest advances PVDF copolymers, composites, blends, main characteristics processability, together with tailorability implementation areas sensors, actuators, energy harvesting storage devices, environmental microfluidic, tissue engineering, antimicrobial applications. The conclusions, challenges future trends concerning application also presented.

Язык: Английский

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Sensing in Soft Robotics

ACS Nano, Год журнала: 2023, Номер 17(16), С. 15277 - 15307

Опубликована: Авг. 2, 2023

Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. can handle delicate care, access remote areas, offer realistic feedback on their handling performance. However, increased dexterity mechanical compliance soft come the need for accurate control position shape these robots. Therefore, must be equipped sensors better perception surroundings, location, force, temperature, shape, other stimuli effective usage. This review highlights recent progress in sensing technologies robotic applications. It begins introduction actuation material selection robotics, followed by in-depth exploration various types sensors, integration methods, benefits multimodal sensing, signal processing, strategies. A short description current market leaders also included illustrate growing demands this technology. By examining latest advancements robots, aims highlight potential inspire innovation field.

Язык: Английский

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A Hydrophobic Self-Repairing Power Textile for Effective Water Droplet Energy Harvesting

ACS Nano, Год журнала: 2021, Номер 15(11), С. 18172 - 18181

Опубликована: Окт. 20, 2021

Triboelectric nanogenerators (TENGs) are useful for harvesting clean and widely distributed water droplet energy with high efficiency. However, the commonly used polymer films in TENGs have disadvantages of poor breathability, skin affinity, irreparable hydrophobicity, which greatly hinder their wearable uses. Here, we report an all-fabric TENG (F-TENG), not only has good air permeability hydrophobic self-repairing properties but also shows effective conversion The surface composed SiO2 nanoparticles poly(vinylidenefluoride-co-hexafluoropropylene)/perfluorodecyltrichlorosilane (PVDF-HFP/FDTS) exhibits a static contact angle 157° displays excellent acid alkali resistance. Because its low glass transition temperature, PVDF-HFP can facilitate movement FDTS molecules to layer under heating conditions, realizing performance. Furthermore, optimized compositions structure, F-TENG 7-fold enhancement output voltage compared conventional single-electrode mode TENG, total efficiency 2.9% is achieved. Therefore, proposed be multifunctional devices raindrop harvesting.

Язык: Английский

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