[10a-N305-1~11] CS.11 Code-sharing session of 12.6&12.7

11:00 AM - 11:15 AM JST(2:00 AM - 2:15 AM UTC)

[10a-N305-8] Development of a Hair Cuticle Diagnostic System with a MEMS Tactile Sensor

〇Hirotoshi Oikaze¹, Yasunori Matsui¹, Ryusei Kawagoe², Hidekuni Takao² (1.Panasonic Corp., 2.Kagawa Univ.)

Keywords:

Hair Cuticle Diagnostic System,MEMS Tactile Sensor,Machine Learning

There is a growing demand for a means of objectively evaluating the health condition of hair by acquiring a tactile feel of the hair.We have developed a new hair cuticle diagnostic system equipped with a high-resolution MEMS tactile sensor with a height resolution of 42 nm and a friction force resolution of 12 μN.This system enables quantification of the number of cuticles in a range of 50 mm, which is significantly wider than the field of view of conventional devices, and quantification of damage levels using a machine learning model based on the results of sensory evaluation by a panel of hair experts.