Publication date: 15th April 2025
Artificial tactile synapses are a type of neuromorphic device that can mimic the sensory capability of human skin. These sensors are able to perceive slight touches and convert these pressure signals into electrical signals that stimulate artificial synapses. The artificial tactile synapses can be trained to recognize different pressures, textures, and vibrations. Currently, most artificial tactile synapses focus on rigid or flexible devices. Therefore, in this work, we demonstrate an artificial tactile synapse using an elastic donor-acceptor polymer semiconductor material. The ion-doped polymer blends can produce a great memory behavior and learning behaviors. Furthermore, the devices are integrated with a triboelectric nanogenerator based on microstructured polydimethylsiloxane (PDMS) film. The tactile property is realized by the triboelectric effect generated by pressure changes. The triboelectric nanogenerator can effectively convert mechanical energy into potential (up to 167 V) to stimulate the artificial synapse device. We also investigate the influence of upward and downward microstructures on the sensitivity of the element for human health monitoring. We successfully used the triboelectric synapse device to monitor the electrocardiogram. In addition, we used an artificial neural network (ANN) to calculate the loss function and accuracy and used artificial intelligence to identify digital signals.
Keywords: Triboelectric nanogenerator, Microstructure, Artificial tactile synapse
References
- Yang Y-T, Tien H-C, Chueh C-C, Lee W-Y. 2022. Polymer synaptic transistors from memory to neuromorphic computing. Materials Chemistry and Physics 287:126263
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