Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System
Abstract A self‐powered artificial mechanoreceptor module is demonstrated with a triboelectric nanogenerator (TENG) as a pressure sensor with sustainable energy harvesting and a biristor as a neuron. By mimicking a biological mechanoreceptor, it simultaneously detects the pressure and encodes spike...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-03-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202105076 |
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| author | Joon‐Kyu Han Il‐Woong Tcho Seung‐Bae Jeon Ji‐Man Yu Weon‐Guk Kim Yang‐Kyu Choi |
| author_facet | Joon‐Kyu Han Il‐Woong Tcho Seung‐Bae Jeon Ji‐Man Yu Weon‐Guk Kim Yang‐Kyu Choi |
| author_sort | Joon‐Kyu Han |
| collection | DOAJ |
| description | Abstract A self‐powered artificial mechanoreceptor module is demonstrated with a triboelectric nanogenerator (TENG) as a pressure sensor with sustainable energy harvesting and a biristor as a neuron. By mimicking a biological mechanoreceptor, it simultaneously detects the pressure and encodes spike signals to act as an input neuron of a spiking neural network (SNN). A self‐powered neuromorphic tactile system composed of artificial mechanoreceptor modules with an energy harvester can greatly reduce the power consumption compared to the conventional tactile system based on von Neumann computing, as the artificial mechanoreceptor module itself does not demand an external energy source and information is transmitted with spikes in a SNN. In addition, the system can detect low pressures near 3 kPa due to the high output range of the TENG. It therefore can be advantageously applied to robotics, prosthetics, and medical and healthcare devices, which demand low energy consumption and low‐pressure detection levels. For practical applications of the neuromorphic tactile system, classification of handwritten digits is demonstrated with a software‐based simulation. Furthermore, a fully hardware‐based breath‐monitoring system is implemented using artificial mechanoreceptor modules capable of detecting wind pressure of exhalation in the case of pulmonary respiration and bending pressure in the case of abdominal breathing. |
| first_indexed | 2024-04-12T22:59:30Z |
| format | Article |
| id | doaj.art-c95ae05686a34dbe80af04b1b30e9a76 |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-04-12T22:59:30Z |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-c95ae05686a34dbe80af04b1b30e9a762022-12-22T03:13:05ZengWileyAdvanced Science2198-38442022-03-0199n/an/a10.1002/advs.202105076Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile SystemJoon‐Kyu Han0Il‐Woong Tcho1Seung‐Bae Jeon2Ji‐Man Yu3Weon‐Guk Kim4Yang‐Kyu Choi5School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of KoreaSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of KoreaElectronics Engineering Department Hanbat National University 125 Dongseo‐daero, Yuseong‐gu Daejeon 34158 Republic of KoreaSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of KoreaSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of KoreaSchool of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) 291 Daehak‐ro, Yuseong‐gu Daejeon 34141 Republic of KoreaAbstract A self‐powered artificial mechanoreceptor module is demonstrated with a triboelectric nanogenerator (TENG) as a pressure sensor with sustainable energy harvesting and a biristor as a neuron. By mimicking a biological mechanoreceptor, it simultaneously detects the pressure and encodes spike signals to act as an input neuron of a spiking neural network (SNN). A self‐powered neuromorphic tactile system composed of artificial mechanoreceptor modules with an energy harvester can greatly reduce the power consumption compared to the conventional tactile system based on von Neumann computing, as the artificial mechanoreceptor module itself does not demand an external energy source and information is transmitted with spikes in a SNN. In addition, the system can detect low pressures near 3 kPa due to the high output range of the TENG. It therefore can be advantageously applied to robotics, prosthetics, and medical and healthcare devices, which demand low energy consumption and low‐pressure detection levels. For practical applications of the neuromorphic tactile system, classification of handwritten digits is demonstrated with a software‐based simulation. Furthermore, a fully hardware‐based breath‐monitoring system is implemented using artificial mechanoreceptor modules capable of detecting wind pressure of exhalation in the case of pulmonary respiration and bending pressure in the case of abdominal breathing.https://doi.org/10.1002/advs.202105076biristor neuronbreath monitoringmechanoreceptorsspiking neural networktriboelectric nanogenerators |
| spellingShingle | Joon‐Kyu Han Il‐Woong Tcho Seung‐Bae Jeon Ji‐Man Yu Weon‐Guk Kim Yang‐Kyu Choi Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System Advanced Science biristor neuron breath monitoring mechanoreceptors spiking neural network triboelectric nanogenerators |
| title | Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System |
| title_full | Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System |
| title_fullStr | Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System |
| title_full_unstemmed | Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System |
| title_short | Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System |
| title_sort | self powered artificial mechanoreceptor based on triboelectrification for a neuromorphic tactile system |
| topic | biristor neuron breath monitoring mechanoreceptors spiking neural network triboelectric nanogenerators |
| url | https://doi.org/10.1002/advs.202105076 |
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