Ultrastretchable adaptive epidermal bracelet based on integrated crosstalk-free dual-mode sensors for accurate human-machine interactions

Developing multi-mode flexible sensor is highly anticipated for various human-machine interaction (HMI) applications, yet the challenge of acquiring crosstalk-free multimodal physiological signals using a single compact device persists. Here, an epidermal electrical signal-driven integrated Electromyogram (EMG)-Forcemyography (FMG) dual-mode sensor (IEFDS) is designed to simultaneously capture these two signals without crosstalk. This sensor utilizes connective organohydrogel electrodes tailored for skin impedance matching. Muscle movements generate distinct EMG and FMG signals, which the IEFDS quantifies as potential differences within unique frequency bands, and the designed decoupling algorithm ensures high-fidelity extraction of these signals. Subsequent decoding by artificial intelligence algorithms interprets motion intentions accurately (95.8%). The sensor array is further monolithically integrated onto a continuous organohydrogel film with impressive self-adhesive and mechanical properties to construct an 8-channel integrated HMI bracelet with high stretchability (100% strain), enabling it to adapt to different individuals and body parts. Furthermore, the wireless bracelet is further leveraged for the remote and accurate control of various execution terminals.