Litcius/Paper detail

Handwriting Character Recognition Based on Conductor/Insulator‐Identifiable E‐Tattoo Proximity Sensors for Blinds

Jiayi Liu, Yanhong Tong, Da Xian, Xiangtao Chen, Chengda Yang, Runnan Zou, Xiaoqian Liu, Zhongzhu Liang, Xiaoli Zhao, Qingxin Tang, Yichun Liu

2023Advanced Functional Materials13 citationsDOI

Abstract

Abstract Easy and convenient reading for blinds is of great significance for lowering their learning, entertainment, and communication barrier, and improving their living quality. The general solution is to learn braille, far from satisfying the meet of the blinds’ daily learning and communication. Here, a new‐type conductor/insulator‐identifiable e‐tattoo proximity sensor is developed by simply depositing the circular interdigitated electrodes on organic semiconductor. The discriminable recognition toward conductors and insulators is realized only based on a single e‐tattoo device. The sensors not only enable recognition of the protruding characters like braille based on distance difference, but also enable recognition of the handwriting ink‐brush and pencil graphite characters based on the unique advantage of the sensors in distinguishing conduct and insulator. These results open a new route to realize the material category recognition, provide a user‐friendly way to help the visual impaired effectively reintegrate into society, and broaden the application field of proximity sensors.

Topics & Concepts

Proximity sensorBrailleInsulator (electricity)Intelligent character recognitionComputer scienceConductorHandwritingInkwellHuman–computer interactionCharacter recognitionMaterials scienceArtificial intelligenceSpeech recognitionOptoelectronicsOperating systemImage (mathematics)Composite materialAdvanced Sensor and Energy Harvesting MaterialsTactile and Sensory InteractionsGas Sensing Nanomaterials and Sensors