Tactile finger texture recognition study

Lin Chen; Ping Zhou

doi:10.1117/12.2684551

19 October 2023 Tactile finger texture recognition study

Lin Chen, Ping Zhou

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127090S (2023) https://doi.org/10.1117/12.2684551
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Tactile sensors integrated into the tip surface of smart prosthetic fingers are extremely important for grasping objects in patients with physical disabilities, as the tactile perception system can recognize characteristics such as roughness, material, softness and hardness. These depend on the sensor having texture recognition function. Therefore, this paper is designed to prepare a tactile finger with different shapes of bionic fingerprints as well as a tactile finger without fingerprint structure to carry out texture recognition experimental research to determine the fingerprint structure with the best accuracy of texture recognition. The results show that the tactile finger without fingerprint structure cannot recognize the surface texture of the object, while the tactile finger with fingerprint structure can recognize the texture spacing with a percentage error of 10% or less; the square bionic fingerprint tactile finger can recognize the texture spacing no matter sliding in x direction or sliding in y direction, and the percentage error between the actual texture spacing value The percentage error is only 0.69%, which is much lower than other shapes of bionic fingerprint, and the output voltage signal has higher vibration amplitude, so the square bionic fingerprint can significantly enhance the frictional vibration signal generated during the sliding process compared with other shapes of bionic fingerprint structure, and improve the texture recognition performance of the tactile finger.

Citation Download Citation

Lin Chen and Ping Zhou "Tactile finger texture recognition study", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127090S (19 October 2023); https://doi.org/10.1117/12.2684551

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