This slide looks at how the signal processing is done in most applications and compares it to a system that uses either KX132-1211 or KX134-1211 accelerometers. In a standard setup, the basic acceleration data is being read from an accelerometer by a microcontroller. The signal would normally be filtered to remove the unwanted content and an FFT analysis is performed to isolate the signal of interest. If a signal of interest is detected at a particular frequency, a system alert can be issued. In a setup with ROHM’s KX132-1211 and KX134-1211 accelerometers, the acceleration data is processed internally in the advanced data path. A signal can be filtered, and root mean square (or RMS) can be calculated to determine the amount of energy it has. If the criteria for the signal of interest is met, the accelerometer will alert the MCU through an interrupt and the MCU could then issue a system alert. The key difference between the two approaches is that ROHM’s solution offloads the signal processing to the KX132 or KX134 accelerometer itself that works autonomously consuming very little power, while the main MCU stays in a sleep mode to conserve power or is kept free to do other higher priority tasks.