Anti - Sound Wave Interference Thermal MEMS
Motion Sensors
Xiang Zheng Tu
It has been
reported that a research team of University
of Michigan used a $5
speaker and precisely tuned acoustic tones to deceive 15 different models of
accelerometers into registering movement that never occurred. The approach
served as a backdoor into the devices - enabling the team to control other
aspects of the system. This research calls into question the longstanding
computer science belief that software can automatically trust hardware sensors,
which feed autonomous systems with fundamental data they need to make
decisions.
In
this research the accelerometers are capacitive
MEMS devices which are typically structured
with a diaphragm acting as a mass that undergoes flexure in the presence of
acceleration. As shown in the above figure two fixed plates sandwich the
diaphragm, creating two capacitors, each with an individual fixed plate and
each sharing the diaphragm as a movable plate. The flexure causes a capacitance
shift by altering the distance between two parallel plates, the diaphragm
itself being one of the plates. Under
zero net force the two capacitors are equal but a change in force will cause
the moveable plate to shift closer to one of the fixed plates, increasing the
capacitance, and further away from the other fixed reducing that capacitance.
This difference in capacitance is detected and amplified to produce a voltage
proportional to the acceleration. The dimensions of the structure are of the
order of microns.
It is not surprise that the
diaphragm of the accelerometer is also sensitive to acoustic pressure and works
like a capacitive MEMS microphone. A capacitive microphone is commonly formed by
a movable membrane and a rigid back plate, forming a structure with a plate
capacitor. The movable membrane responds and changes its position when the
acoustic pressure hit its surface, producing a capacitance variation between
the back plate and the membrane, which in turns produces a current flow
proportional to the distance variation between the membrane and the back plate.
There is no essence difference
between these two capacitive MEMS devices. It is true
that said Kevin Fu, U-M associate professor of computer
science and engineering, the fundamental physics of the hardware allowed us to
trick capacitive accelerometers into delivering a false reality to the
microprocessor. And their findings resonantly upend widely held assumptions
about the security of the underlying hardware.
However POSIFA’s
thermal MEMS motion sensors can make these things total different. Using the
POSIFA’s thermal MEMS motion sensors sound waves are no longer allowed to hack
everything from phones to fitness trackers. Reference to the above figure a POSIFA’s thermal motion sensor comprises a thermal
isolated plate created in a silicon substrate, a resistive heater, and two
thermopiles both are formed on the surface of the plate. The laws of physics
teaches that the temperature field generated by a moving heat source is
asymmetry and able to be measured. In steady state, the vertical
cross-sectional temperature field is a sequence of symmetry concentric circles
each representing an isotherm on the lateral plane. When the heat source moves
the vertical cross-sectional temperature field will be skewed towards down
motion direction. The skewed lateral cross-sectional temperature field consists
of a contracted half plane and an expended half plane both are divided by a
line perpendicular to the motion direction. Since two thermopiles sensors are
placed on the plane around the heat source, all isotherms can be reconstructed.
A lot of useful information including the direction and velocity of the moving
heat source can be extracted form the reconstructed plane isotherms.
Acceleration is used to measure
the change in velocity, or speed divided by time. For example, a car
accelerating from a standstill to 60 mph in six seconds is determined to have
an acceleration of 10 mph per second (60 divided by 6). So with several
accelerometers on your smart phone, you can determine if the smart phone is
moving uphill, whether it will fall over if it tilts any more, or whether it’s
flying horizontally or angling downward. And you know how to tilt your smart phone
it can rotate their display between portrait and landscape mode accordingly.
The thermopile
flow sensors can replace capacitive accelerometers for measuring the speeds of
any moving objects including smart phones. The working principle is based on
the fact that a moving object experiences an apparent wind that is the wind in
relation to the moving object. Suppose
the object is a riding bicycle on a day when there is no wind. Although the
wind speed is zero, the rider will feel a breeze on the bicycle due to the
bicycle is moving through the air. This is the apparent wind. On the windless
day, the measured apparent wind will always be directly in front and equal in
speed to the speed of the bicycle. It is very clear that it is impossible for the
thermal motion sensors to response sound wave because there is no sound wave
sensing mechanism to take place.