Soft triboelectric nanogenerators for mechanical energy scavenging and self-powered sensors

Song, Yiding; Wang, Nan; Hu, Chi‐Ming; Wang, Zhong Lin; Yang, Ya

doi:10.1016/j.nanoen.2021.105919

Cited by 92 publications

(44 citation statements)

References 137 publications

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“…Wind energy has good factors such as a wide distribution, convenient collection, and independence on weather conditions. It is an ideal sustainable energy source for self-powered sensors [14][15][16][17][18]. The traditional wind sensor mainly relies on the principle of electromagnetic induction and is measured through wind cups.…”

Section: Introductionmentioning

confidence: 99%

A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

Liu

Che

2021

Sensors

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Triboelectric nanogenerators (TENGs) have excellent properties in harvesting tiny environmental energy and self-powered sensor systems with extensive application prospects. Here, we report a high sensitivity self-powered wind speed sensor based on triboelectric nanogenerators (TENGs). The sensor consists of the upper and lower two identical TENGs. The output electrical signal of each TENG can be used to detect wind speed so that we can make sure that the measurement is correct by two TENGs. We study the influence of different geometrical parameters on its sensitivity and then select a set of parameters with a relatively good output electrical signal. The sensitivity of the wind speed sensor with this set of parameters is 1.79 μA/(m/s) under a wind speed range from 15 m/s to 25 m/s. The sensor can light 50 LEDs at the wind speed of 15 m/s. This work not only advances the development of self-powered wind sensor systems but also promotes the application of wind speed sensing.

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Section: Introductionmentioning

confidence: 99%

A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

Liu

Che

2021

Sensors

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“…Table 8 shows the power consumption for different smart gloves, with many taking up to 200 mW. The research in self-powered sensors [138,152] and actuators will foster the realization of autonomous systems with fewer wires and increased wearability. For example, the sensing layer of the SensAct-type devices presented in Ozioko et al [30] could be replaced with flexible solar cells.…”

Section: Parametermentioning

confidence: 99%

Smart Tactile Gloves for Haptic Interaction, Communication, and Rehabilitation

Ozioko

Dahiya

2021

Advanced Intelligent Systems

133

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Smart wearable technologies are rapidly revolutionizing our interactive experience with the real and virtual world through a variety of virtual and augmented reality (VR/AR) systems [1,2] as well as underpinning advances in several technological areas touching life, such as healthcare technologies, [3,4] assistive technologies, [5][6][7] smart homes, [8] and robotics. [9][10][11] With the remarkable progress in related underpinning technologies such as 5G/6G communication, [12] the Internet of things (IoT), [13] tactile Internet, [14] machine learning, [15] and neural computing, [16] one can only see bright prospects for smart wearable technologies such as intelligent human machine interfaces (HMIs). [17] The HMI is at the center of efficient collaboration between humans and the rapidly advancing digitalized world. [18,19] Although human interaction with the real or virtual world takes place through the five basic sensory modalities, the majority of HMI technologies rely on vision, audio, and touch-sensing modalities. The latter is the major modality when it comes to physical interaction. [2,20,21] However, sensory feedback alone is not enough as the two-way tactile communication from the contact point to the controlling unit (e.g., the brain in the case of humans) [10,22] is important for any effective interaction. To achieve two-way tactile communication, an interface that has the capability of sensing a stimulus and receiving feedback is desired. For example, with interactive VR/AR systems, the user can send information via touch sensors and receive signals via different modalities, including visual, auditory, haptic, vestibular, and olfactory stimuli. VR tools that use computer-based interactive simulations to enable users to engage in environments that appear and feel similar to the real world are considered to be considerably useful for rehabilitation. [23,24] Likewise, the AR systems can infuse interactive virtual elements into the physical environment and thus supplement the real world. [23] The quality of the user experience with these systems depends on the intuitive interface offered by these systems, and their ability to provide easy-to-understand information. However, most VR/AR systems primarily provide visual and auditory feedback, which does not provide verisimilar immersive experiences. This is particularly unsuitable for people with impaired senses, such as the deaf and blind. [25] Conventionally, the HMI has involved gadgets such as keyboards, joysticks, mouses, screens, and Braille. However, the majority of these gadgets have one of more drawbacks, such as being bulky and nonintuitive, having low precision for monitoring human motions or transmitting complex commands, and having no capability to generate a feedback signal based on tactile sensing. As the requirement for richer, more versatile, and seamless interactions rises, researchers have explored several wearable options with sensors based on various sensing mechanisms such as capacitive, [9,[26][27][28][29]

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“…Then a personal voice security system was successfully established to recognize the users' identity with high accuracy by perceiving the collected voiceprint, showing its potential as HMI for biometric purposes. In addition, a tactile sensing patch is also a common form of wearable HMI by collecting finger touching/sliding movements to realize simple manipulation commands [174][175][176][177][178][179] Currently, TENG tactile HMIs commonly consist of a large number of sensing pixels, where each pixel is connected to an independent output, resulting in complex readout circuits and output signals [180][181][182][183][184][185][186][187]. In order to simplify the outputs to effectively reduce the difficulty and cost of data collection and processing, some novel solutions with minimalistic electrode design have been demonstrated recently [188][189][190][191][192][193].…”

Section: Other Wearable 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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Soft triboelectric nanogenerators for mechanical energy scavenging and self-powered sensors

Cited by 92 publications

References 137 publications

A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

A High Sensitivity Self-Powered Wind Speed Sensor Based on Triboelectric Nanogenerators (TENGs)

Smart Tactile Gloves for Haptic Interaction, Communication, and Rehabilitation

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

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