Self-powered transparent and flexible touchpad based on triboelectricity towards artificial intelligence

Yun, Je Moon; Jayababu, Nagabandi; Kim, Daewon

doi:10.1016/j.nanoen.2020.105325

Cited by 74 publications

(47 citation statements)

References 37 publications

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“…[81,87,164], for advanced human-machine interactions as illustrated in Figure 6. Recently, several AI-enabled TENG-based HMIs have been successfully developed [89,92,[276][277][278] based on the algorithms of support vector machine (SVM), neural network (NN), etc., where the subtle features hidden in the triboelectric waveform, including contact sequence, impact vibration, etc., have been proven to effectively enhance the recognition capability of the intelligent sensory system. Compared with state-of-art works [279][280][281] that using a large number of resistive/capacitive sensor nodes for highaccuracy ML analysis, the minimalistic approach of TENGs shows comparable performance with significantly lower power consumption.…”

Section: Ml-enabled Advanced Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable of providing humans with more intuitive interaction with the digitalized world have experienced a flourishing development in the past few years. Although the advanced sensing techniques based on complementary metal-oxide-semiconductor (CMOS) or microelectromechanical system (MEMS) solutions, e.g., camera, microphone, inertial measurement unit (IMU), etc., and flexible solutions, e.g., stretchable conductor, optical fiber, etc., have been widely utilized as sensing components for wearable/non-wearable HMIs development, the relatively high-power consumption of these sensors remains a concern, especially for wearable/portable scenarios. Recent progress on triboelectric nanogenerator (TENG) self-powered sensors provides a new possibility for realizing low-power/self-sustainable HMIs by directly converting biomechanical energies into valuable sensory information. Leveraging the advantages of wide material choices and diversified structural design, TENGs have been successfully developed into various forms of HMIs, including glove, glasses, touchpad, exoskeleton, electronic skin, etc., for sundry applications, e.g., collaborative operation, personal healthcare, robot perception, smart home, etc. With the evolving artificial intelligence (AI) and haptic feedback technologies, more advanced HMIs could be realized towards intelligent and immersive human–machine interactions. Hence, in this review, we systematically introduce the current TENG HMIs in the aspects of different application scenarios, i.e., wearable, robot-related and smart home, and prospective future development enabled by the AI/haptic-feedback technology. Discussion on implementing self-sustainable/zero-power/passive HMIs in this 5G/IoT era and our perspectives are also provided.

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Section: Ml-enabled Advanced Hmismentioning

confidence: 99%

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Sun

Zhu

Lee

2021

Nanoenergy Advances

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“…However, the traditional human-machine interface has strict power requirements and has problems such as having a complex structure. Yun et al [119] used a 49-pixel TENG array on a flexible substrate to form a self-powered triboelectricity-based touchpad (TTP) (Figure 6c) working in touch and sliding mode. The classification accuracy can reach up to 93.6% when the neural network is pre-trained, and the touchpad has excellent compatibility and can become a functional human-machine interface.…”

Section: Application Of Teng-based Self-powered Sensors In Field Of Human-machine Interfacesmentioning

confidence: 99%

Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators

Jiang

Zhu

et al. 2021

Micromachines

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With the rapid progress of artificial intelligence, humans are moving toward the era of the intelligent connection of all things. Therefore, the demand for sensors is drastically increasing with developing intelligent social applications. Traditional sensors must be triggered by an external power source and the energy consumption is high for equipment that is widely distributed and working intermittently, which is not conducive to developing sustainable green and healthy applications. However, self-powered sensors based on triboelectric nanogenerators (TENG) can autonomously harvest energy from the surrounding environment and convert this energy into electrical energy for storage. Sensors can also be self-powered without an external power supply, which is vital for smart cities, smart homes, smart transportation, environmental monitoring, wearable devices, and bio-medicine. This review mainly summarizes the working mechanism of TENG and the research progress of self-powered sensors based on TENG about the Internet of Things (IoT), robotics, human–computer interaction, and intelligent medical fields in recent years.

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“…[ 24 ] Although the crosstalk from the electrodes has been successfully suppressed by special device design, the issues on complicated fabrication, low sensing resolution and tedious wiring layout still need be addressed due to every sensor unit individually connected as one data channel. Therefore, the fabrication usually involves the specialized equipment and sophisticated or expensive processes, such as photolithography, vacuum deposition, etching, and/or other complicated procedures and designs, [ 4,5,21,33–35 ] which are high‐cost and time‐consuming and would block their widespread practical applications. A simple, low‐cost, high‐efficient fabrication process is highly desired for flexible, high‐resolution, and self‐powered TSA applied in tactile sensing.…”

Section: Introductionmentioning

confidence: 99%

Flexible High‐Resolution Triboelectric Sensor Array Based on Patterned Laser‐Induced Graphene for Self‐Powered Real‐Time Tactile Sensing

Yan

Wang

Xia

et al. 2021

Adv Funct Materials

207

110

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Flexible tactile sensors are garnering substantial interest for various promising applications, including artificial intelligence, prosthetics, healthcare monitoring, and human–machine interactions (HMI). However, it still remains a critical challenge in developing high‐resolution tactile sensors without involving high‐cost and complicated manufacturing processes. Herein, a flexible high‐resolution triboelectric sensing array (TSA) for self‐powered real‐time tactile sensing is developed through a facile, mask‐free, high‐efficient, and environmentally friendly laser direct writing technique. A 16 × 16 pixelated TSA with a resolution of 8 dpi based on patterned laser‐induced graphene (LIG) electrodes (7 Ω sq−1) is fabricated by the complementary intersection overlapping between upper and lower aligned semicircular electrode arrays. With the especially patterning design, the complexity of TSA and the number of data channels is reduced. Meanwhile, the TSA platform exhibits excellent durability and synchronicity and enables the achievement of real‐time visualization of multipoint touch, sliding, and tracking motion trajectory without power consumption. Furthermore, a smart wireless controlled HMI system, composed of a 9‐digital arrayed touch panel based on a LIG‐patterned triboelectric nanogenerator, is constructed to control personal electronics wirelessly. Consequently, the self‐powered TSA as a promising platform demonstrates great potential for an active real‐time tactile sensing system, wireless controlled HMI, security identification and, many others.

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Self-powered transparent and flexible touchpad based on triboelectricity towards artificial intelligence

Cited by 74 publications

References 37 publications

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Progress in the Triboelectric Human–Machine Interfaces (HMIs)-Moving from Smart Gloves to AI/Haptic Enabled HMI in the 5G/IoT Era

Advances in Smart Sensing and Medical Electronics by Self-Powered Sensors Based on Triboelectric Nanogenerators

Flexible High‐Resolution Triboelectric Sensor Array Based on Patterned Laser‐Induced Graphene for Self‐Powered Real‐Time Tactile Sensing

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