A wireless self-decoupling scheme for multimodal sensing

Skin converts multisensory stimuli into bioelectrical signals through cutaneous receptors and then transmits them to the central nervous system (CNS), implementing an analog-digital response to perceive the environment. However, target engagement components that access multisensory stimuli face significant challenges in multimodal interaction, especially the intrinsic decoupling in stretchable heterogeneous integrating systems and the dimensional broadening in traditional human five sensations. In this work, we propose a passive wireless multimodal self-decoupling methodology paradigm to optimize the signal scheduling of systems and broaden the cognitive dimensions of humans, which engages the strategic configuration of symmetrical inductor-capacitor (LC) resonant circuit combined with LC tank to unlock the single-port output self-decoupling sensing, thereby decoding five sensible stimuli to augment situational awareness of human. Systematic theoretical model is established to verify the self-decoupling methodology and the multimodal sensing scheme based on RLC-modulated mechanism. Multiple prototypes of single-port liquid metal (LM)-based wireless multimodal electronic skin implement targeted responses of skin-like receptors. That incorporating pressure (0 kPa~40 kPa), temperature (25 °C ~ 45 °C), humidity (5%RH ~ 90%RH), ultraviolet (0 lm~20 lm) and inclination (30°, 45°, 60°, 90°) through accessing corresponding sensing components. This technique proposal is designed to render a self-decoupling methodology for stretchable wireless multimodal unperturbed platforms and bridge the spatial sensory dimensions in traditional multisensory mechanisms for human-machine interaction.