  Low-back pain (LBP) is a widespread disease which can also be highly
disabling, but physicians lack of basic understanding and diagnosis tools.
During this study, we have designed and built a new wearable device capable of
detecting features helpful in LBP follow-up while being non-invasive. The
device has been carefully validated, and shows good metrological features, with
small noise level ($\sigma$ = 1{\textdegree}) and no observable drift. Two
simple exercises were proposed to two young volunteers, one of them with LBP
history. These exercises are designed to target two characteristics: the lumbar
lordosis angle and the hip \& shoulder dissociation. Even if no general rules
can be extracted from this study, we have shown that Inertial Measurement Units
(IMU) are able to pick up those characteristics and the obtained values are
meaningful refereeing to LBP disease. Henceforth, we are confident in going to
clinical studies to investigate the link between back related feature and LBP,
in particular the hip \& shoulder dissociation which is poorly documented.
