Multimodal Electronic Skin: Fingerpad‐Inspired Multimodal Electronic Skin for Material Discrimination and Texture Recognition (Adv. Sci. 9/2021)

Abstract

In article number 2002606, Seung Goo Lee, Kilwon Cho, and co‐workers demonstrate a finger padinspired multimodal mechanoelectric sensor for material discrimination and texture recognition. By integrating various electrical working mechanisms of piezoelectric, triboelectric, and piezoresistive, the sensor can identify and distinguish the external stresses from a single stimulus to a combination of multiple stimuli, enabling a potential application of artificial sensory systems for biomimetic prosthesis and robotic skins.

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

“…a) Electronic skin and glove platforms for human motion decoding. [ 83,159–163,167–169 ] b) With triboelectric and piezoelectric mechanisms, electronic skin and glove are endowed with self‐powered capability. Further integrating with artificial intelligence toward more comprehensive applications.…”

“…[151][152][153][154][155] To mimic laminated human skin with different mechanoreceptors such as tactile, thermal, and feedback sensation, electronic skin is generally multilayered with embedded pressure, temperature, and even feedback units. [156][157][158] While the soft characteristic of e-skin is endowed by stretchable substrates, regarding applications (Figure 3a), [159][160][161][162][163] e-skin has been explored for human motion sensing and humanoid robotics (e.g., HMI, tactile sensing, and texture recognition). Upon human motion decoding, the glove HMI has unique advantages when compared with e-skin.…”

“…In such a way, the new sentences that are not included in the training dataset can be recognized. Finally, the recognition results of sentences are projected into a virtual space in which the signer can use their [83,[159][160][161][162][163][167][168][169] b) With triboelectric and piezoelectric mechanisms, electronic skin and glove are endowed with self-powered capability. Further integrating with artificial intelligence toward more comprehensive applications.…”

“…Tactile based intelligent system. a) Electronic skin and glove platforms for human motion decoding [83,[159][160][161][162][163][167][168][169]. b) With triboelectric and piezoelectric mechanisms, electronic skin and glove are endowed with self-powered capability.…”