Key points are not available for this paper at this time.
Nowadays, with the intensification of the aging society, the demand for elderly care and medical services is increasing and the elderly care and health systems are facing serious challenges. Therefore, it is imperative to develop a smart elderly care system to achieve real-time interaction between the elderly, the community, and medical personnel and to improve the efficiency of caring for the elderly. Here, we prepared ionic hydrogels with stable properties of high mechanical strength, high electrical conductivity, and high transparency by the one-step immersion method and used them in self-powered sensors for smart elderly care systems. The complexation of Cu2+ ions with polyacrylamide (PAAm) endows ionic hydrogels with excellent mechanical properties and electrical conductivity. Meanwhile, potassium sodium tartrate prevents the generated complex ions from precipitating into precipitates, thus ensuring the transparency of the ionic conductive hydrogel. After optimization, the transparency, tensile strength, elongation at break, and conductivity of the ionic hydrogel reached 94.1% at 445 nm, 192 kPa, 1130%, and 6.25 S/m, respectively. By processing and coding the collected triboelectric signals, a self-powered human–machine interaction system attached to the finger of the elderly was developed. The elderly can complete the transmission of distress and basic needs by simply bending their fingers, greatly reducing the pressure of inadequate medical care in an aging society. This work demonstrates the value of self-powered sensors in the field of smart elderly care systems, showing a wide implication in human–computer interface.
Yang et al. (Tue,) studied this question.