한빛사논문
Sungwoo Chun 1,2,3,14 ,*, Jong-Seok Kim 4,14, Yongsang Yoo 4, Youngin Choi 5, Sung Jun Jung5, Dongpyo Jang6, Gwangyeob Lee7, Kang-Il Song8, Kum Seok Nam 9, Inchan Youn8, Donghee Son 8,10, Changhyun Pang 1,2, Yong Jeong 9,11, Hachul Jung 12, Young-Jin Kim12, Byong-Deok Choi4, Jaehun Kim13, Sung-Phil Kim13, Wanjun Park4 and Seongjun Park 9,11,*
1Department SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea. 2School of Chemical Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea. 3Department of Electronics and Information Engineering, Korea University, Sejong, Republic of Korea. 4Department of Electronics and Computer Engineering, Hanyang University, Seoul, Republic of Korea. 5Department of Physiology, Medical School, Hanyang University, Seoul, Republic of Korea. 6Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea. 7Department of Materials Science and Engineering, Yonsei University, Seoul, Republic of Korea. 8Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea. 9Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea. 10School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea. 11KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea. 12Medical Device Development Center, Osong Medical Innovation Foundation, Cheongju, Chungbuk, Republic of Korea. 13Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea. 14These authors contributed equally: Sungwoo Chun, Jong-Seok Kim.
*Corresponding author.
Abstract
Humans detect tactile stimuli through a combination of pressure and vibration signals using different types of cutaneous receptor. The development of artificial tactile perception systems is of interest in the development of robotics and prosthetics, and artificial receptors, nerves and skin have been created. However, constructing systems with human-like capabilities remains challenging. Here, we report an artificial neural tactile skin system that mimics the human tactile recognition process using particle-based polymer composite sensors and a signal-converting system. The sensors respond to pressure and vibration selectively, similarly to slow adaptive and fast adaptive mechanoreceptors in human skin, and can generate sensory neuron-like output signal patterns. We show in an ex vivo test that undistorted transmission of the output signals through an afferent tactile mouse nerve fibre is possible, and in an in vivo test that the signals can stimulate a rat motor nerve to induce the contraction of a hindlimb muscle. We use our tactile sensing system to develop an artificial finger that can learn to classify fine and complex textures by integrating the sensor signals with a deep learning technique. The approach can also be used to predict unknown textures on the basis of the trained model.
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