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Accurately identifying the surface deformation of elastomers has been a key issue for understanding the contact state in a soft touch. However, effective monitoring of the deformed surface topography during soft\u2010touch processes is difficult due to the complexity of interfacial deformation. Herein, the optical detection method based on an ideal diffuse reflection model is proposed to monitor the deformation of the elastomer, enabling the acquisition of a spatially continuous deformation of the surface in a soft touch. This optical system with the parallel incident light can distinguish the elastomers\u2019 surface deformation field by constructing the correlation between the reflected light irradiance and the surface deformation angle. This method allows for the perception of the contact area. Through the deep learning method, the recognition rate can reach more than 84.24% when there are slight differences in the contact of objects with different geometric shapes. The design offers valuable insights for contact state detection tasks and facilitates soft\u2010touch sensing functions through the high precision of optical signal acquisition.<\/jats:p>","DOI":"10.1002\/aisy.202300535","type":"journal-article","created":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T06:13:55Z","timestamp":1700806435000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Monitoring Soft Shape Surface Deformation via Optical Images for the Distinction of Contact State"],"prefix":"10.1002","volume":"6","author":[{"given":"Zhibin","family":"Zou","sequence":"first","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices School of Information and Optoelectronic Science and Engineering South China Normal University  Guangzhou 510006 P. R. 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