Abstract: Unmanned driving represents the development goal of automotive technology in the future, but the current level of automated driving cannot support the driver to completely take off. In order to ensure the safety of driving, it is necessary to detect the state of a driver holding the steering wheel in real time. Therefore, according to the automatic driving standards of various countries and industries, this paper proposes a steering wheel off-hand detection method based on tactile sensing for the off-hand steering wheel detection function in the field of human-computer interaction and risk management and control of intelligent connected vehicles. Flexible micro-nano bionic 3D array pressure sensors, high-frequency signal acquisition and multi-signal fusion control technology are adopted, and a set of hands-off detection and testing system is developed, which integrates signal acquisition, processing, calculation, result display and driving simulation. The off-hand detection system is tested under the simulated driving state based on the simulated driver. The results show that the off-hand detection system can realize high-efficiency and high-precision recognition of the two states of the driver’s holding the steering wheel and off-hand driving in multiple driving scenarios and with complex steering wheel holding postures.