The design and implementation of a microcontroller
based platform compatible with IEEE 1451.4 standard for high
performance unobtrusive accurate cardio-respiratory and
motor activity estimation of wheelchair users are presented in
this paper. The platform is a multi-sensor architecture that
includes sensors with plug-and-play and auto-identification
capabilities, a RFID reader that is used to identify the
wheelchair user, and RFID tags mounted in critical regions of
the indoor habitat. The acquired data from the smart sensor
channels are delivered through Bluetooth communication or
wired serial communication to a host computer that includes a
server application associated with IEEE 1451.4 TEDS
management and display of the measured data. Elements of
human-machine-interface (HMI) implementation and several
experimental results are included in the paper.