fig2

Figure 2. Schematic diagram of the on-chip neuromorphic computing system. The workflow of such systems is as follows: skin-inspired sensors collect various environmental signals from the environment (such as temperature, pressure, humidity, contact, proximity, etc.), which are then preliminarily processed by corresponding neural devices. A subsequent modeling step transforms the sensor data into a format suitable for neural network input, employing techniques such as feature extraction, normalization, or dimensionality reduction. Finally, different neural network algorithms are utilized for deep processing, thereby making corresponding responses or obtaining the required data.