Material Recognition Sensor Array by Electrostatic Induction and Triboelectric Effects

Abstract

The development of the sensor array has received substantial attention due to its enormous potential in artificial intelligences. The development of a sensor array with supernatural functions is of great significance and this paper presents a sort of flexible sensor array capable of recognizing material based on the electrostatic induction and triboelectric effects. In the nature, different materials have different abilities of gaining or donating electrons. When a tested material (including plastic, glass, or metal) approaches or leaves different probe materials integrated in the sensor array, the amplitude and phase of the induced electrical signals, which are related to the inherent feature of the tested material, are detected and analyzed, and then, the tested material can be distinguished. This sort of flexible sensor array has advantages of quick response (70 ms), accurate identification, low cost, and easy fabrication. It has promising application in wearable electronic devices and intelligent robots.

Large and Tunable Ranking Shift in Triboelectric Series of Polymers by Introducing Phthalazinone Moieties

“…In addition, FPPE-5 is still positively charged during contact with oil-resistant buna-N rubber (nitrile rubber), which is the most positive polymer in triboelectric series as reported by H. Zou (Figure S7a, Supporting Information). [14] As the proportion of DHPZ gradually increases in chain structure of copolymers, the ranking of FPPEs in triboelectric series largely shifts from negative to positive. This positive shift is induced by the change in the type and density of triboelectric functional group at molecular level for the introduction of phthalazinone moieties.…”

“…Thus, multi-material sensor can not only detect the touching motions but also identify different materials based on the polarity and amplitude of output signal. For example, a multifunctional sensor, [12] on-skin self-powered sensor, [13] flexible sensor array, [14] and tactile sensing system combining deep learning technology [15] have been reported to identify materials by utilizing the intrinsic triboelectric difference. However, the current triboelectric layers are mainly composed by commercial materials, and big gaps still exist in the triboelectric series.…”

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

“…With the gradual rollout of AI technology around the world, intelligent robots will play a more important role in our society and will gradually replace humans in laborintensive or dangerous tasks, from the industries of service, manufacturing and medical, to daily life assistant, as well as future scientific-related space exploration [198]. As the medium to perceive the external world and enhance the interactions with humans, sensors based on TENGs have also been investigated a lot to mimic the bionic sensory system for robots' tactile sensing [199][200][201][202][203], gesture/motion monitoring [204,205], gait analysis [206], etc., thanks to their good compatibility brought by TENGs' wide material choices.…”

Triboelectric Nanogenerators as Active Tactile Stimulators for Multifunctional Sensing and Artificial Synapses

“…In the initial stage, the tactile stimulators based on TENGs are mainly used for some single function sensing, such as pressure [ 41 ], trajectory motion [ 42 ], tactile imaging [ 43 ], and so on, which cannot satisfy the practical demands. After several years of research, the tactile stimulators have gradually developed into the integration of multi-sensory functions [ 44 , 45 ]. Various triboelectric tactile perception devices have been developed, which have demonstrated the sensing characteristic of TENGs in human-computer interactions.…”