Triboelectric-nanogenerator-enabled mechanical modulation for infrared wireless communications

Ding, Wenbo; Jin, Yuchao; Lu, Chengyue; Wang, Jiyu; Song, Ziwu; Yang, Xu; Cao, Yidan; Zi, Yunlong; Wang, Zhong Lin; Ding, Wenbo

doi:10.1039/d2ee00900e

Cited by 19 publications

(6 citation statements)

References 37 publications

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“…Figure 5c–e shows the corresponding optical amplitude intensity and wavelength (dominant wavelength) reading when the three codes achieve optical communication. Here, the bit sequence consists of three parts: start/stop, information, and check bits 38 , 57 . Taking Fig.…”

Section: Resultsmentioning

confidence: 99%

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Shan

Chen

et al. 2023

Nat Commun

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Realizing multi-modal information recognition tasks which can process external information efficiently and comprehensively is an urgent requirement in the field of artificial intelligence. However, it remains a challenge to achieve simple structure and high-performance multi-modal recognition demonstrations owing to the complex execution module and separation of memory processing based on the traditional complementary metal oxide semiconductor (CMOS) architecture. Here, we propose an efficient sensory memory processing system (SMPS), which can process sensory information and generate synapse-like and multi-wavelength light-emitting output, realizing diversified utilization of light in information processing and multi-modal information recognition. The SMPS exhibits strong robustness in information encoding/transmission and the capability of visible information display through the multi-level color responses, which can implement the multi-level pain warning process of organisms intuitively. Furthermore, different from the conventional multi-modal information processing system that requires independent and complex circuit modules, the proposed SMPS with unique optical multi-information parallel output can realize efficient multi-modal information recognition of dynamic step frequency and spatial positioning simultaneously with the accuracy of 99.5% and 98.2%, respectively. Therefore, the SMPS proposed in this work with simple component, flexible operation, strong robustness, and highly efficiency is promising for future sensory-neuromorphic photonic systems and interactive artificial intelligence.

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Section: Resultsmentioning

confidence: 99%

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Shan

Chen

et al. 2023

Nat Commun

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“…[6] However, communication modules based on traditional radio frequency technology tend to consume more energy. [27] Self-powered temperature monitoring systems based on traditional radio frequency technology typically require several to tens of minutes to complete the initial sensing and data transmission process. [28] We introduced optical wireless communication and mechanical modulation for the first time.…”

Section: Discussionmentioning

confidence: 99%

Self‐Powered Wireless Temperature Monitor System Based on Triboelectric Nanogenerator with Machine Learning

Cui,

Zhou,

Liu

et al. 2023

Adv Energy and Sustain Res

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Triboelectric nanogenerator (TENG) can power wireless, real‐time sensing system with hybrid electromagnetic or piezoelectric power, or directly drive commercial LED without battery. However, it is a great challenge to directly drive wireless real‐time sensing system due to low energy density based on environment energy. Here, a self‐powered smart wireless temperature monitoring system that uses machine learning to accurately measure the ambient temperature is developed. A position modulation‐based TENG‐driven transmitter enables wireless communication and real‐time temperature monitoring. This machine learning‐based wireless sensor can accurately monitor the ambient temperature, with a recognition accuracy of up to 96.2%. This sensor architecture could potentially be used in low‐cost distributed sensors for environmental monitoring.

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“…[11] Due to the mechanical mismatch between the human body and traditional electronic devices, [12] in recent years, many highly flexible wearable sensors have emerged, and applied in areas such as smart prosthetics, [13] health monitoring, [14] as well as virtual reality (VR) interaction. [15,16] The development of flexible sensors' sensing mechanisms include piezoresistance, [17][18][19] piezoelectric, [20] capacitive, [21,22] and triboelectric effects, [23][24][25] enables the detection of various biological signals such as pressure, temperature, material, and humidity. [26,27] In the field of human-machine interaction, research on human grasping has always been a hot topic.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Glove System for Real‐Time Multiple Electrical Signal Acquisition and Display

Qiu,

Dai,

Yang

et al. 2024

Adv Materials Technologies

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Realizing multimodal tactile perception for robots is highly desirable for achieving more intelligent human–machine interaction. A real‐time intelligent glove system that can capture and monitor hand tactile information, including pressure, bending, and temperature is proposed. This system processes the collected data and visualizes the tactile information in a 2D image. The intelligent glove system integrates a palm‐shaped sensor unit, a multi‐channel data acquisition board, and a data analysis module. The glove consists of 34 flexible sensors, including 28 pressure sensors, five bending sensors, and one temperature sensor, which convert biological information into electrical signals. By enhancing the performance of the system, the intelligent glove achieves high sensitivity and good fault tolerance, allowing it to analyze the multimodal tactile information of the entire hand with fast responsivity. By analyzing the acquired multi‐channel electrical signals, the system can analyze object shapes and various gripping states. This work paves the way for wearable devices used in multimodal tactile perception and promotes the emergence of new modes of human–machine interaction.

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Triboelectric-nanogenerator-enabled mechanical modulation for infrared wireless communications

Abstract: A self-powered and self-modulated infrared wireless communications system is developed via integrating a triboelectric nanogenerator and mechanical modulation protocols.

Cited by 19 publications

References 37 publications

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Self‐Powered Wireless Temperature Monitor System Based on Triboelectric Nanogenerator with Machine Learning

An Intelligent Glove System for Real‐Time Multiple Electrical Signal Acquisition and Display

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