Triboelectric potential tuned oxide artificial tactile sensory platform with ultra-low power consumption

•A self-powered artificial tactile sensory platform is proposed in a co-substrate configuration.•Neuromorphic transistors demonstrate synaptic behaviors with extremely low energy consumption.•Triboelectric nanogenerator exhibits good sensitivity.•Image edge detection is demonstrated adopting the tactile sensory platform.•A wearable arterial pulse monitor is proposed based on the tactile sensory platform. Sophistiated cognitive platform calls for multifunctional intelligent sensory devices with ultra-low power consumption. Triboelectric nanogenerator (TENG) provides an energy-efficient strategy to gate neuromorphic transistor with multiple sensing applications. To this end, a self-powered artificial tactile sensory neuron is proposed. Fish gelatin (GEL) and carboxylated-chitosan (CCs) are cross-linked to gate indium tin oxide (ITO) neuromorphic transistor. Thanks to the extremely strong protonic/electronic interfacial coupling at GEL-CCs based hydrogel/channel interface, good electrical performances are obtained at low voltage of only ∼0.8 V. The device demonstrates fundamental synaptic behaviors. Moreover, it exhibits ultra-low energy consumption of only ∼31.1 aJ for a single synaptic response with a good sensitivity of ∼4.65 dB. TENG is fabricated using polydimethylsiloxane elastomer and polytetrafluoroethylene, demonstrating good sensitivity of ∼8.0 V/kPa and good stabilities under pressure of 400 Pa. Thus, a tactile sensory platform is built with co-substrate configuration, integrating TENG and ITO neuromorphic transistor. Image edge detection is conceptually demonstrated by adopting Sobel algorithm. Furthermore, a wearable arterial pulse monitor is proposed based on the haptic sensory platform. The present work provides a candidate solution for realizing environment-friendly, energy-saving neuromorphic system and tactile perception system, demonstrating potentials in portable intelligent platform, prosthetics and human-machine interface. [Display omitted]