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.