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IIS2DULPX Datasheet(PDF) 27 Page - STMicroelectronics

Part # IIS2DULPX
Description  Intelligent ultralow-power accelerometer for industrial applications
PDF  106 Pages
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Manufacturer  STMICROELECTRONICS [STMicroelectronics]
Direct Link  http://www.st.com
Logo STMICROELECTRONICS - STMicroelectronics

IIS2DULPX Datasheet(HTML) 27 Page - STMicroelectronics

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5.8
Machine learning core
The IIS2DULPX embeds a dedicated core for machine learning processing that provides system flexibility,
allowing some algorithms run in the application processor to be moved to the MEMS sensor with the advantage of
consistent reduction in power consumption.
Machine learning core logic allows identifying if a data pattern matches a user-defined set of classes. Typical
examples of applications could be activity detection like running, walking, driving, and so on.
The IIS2DULPX machine learning core works on data patterns coming from the accelerometer sensor, but it is
also possible to process the embedded temperature sensor data or the analog hub (AH) / Qvar data.
The input data can be filtered using a dedicated configurable computation block containing filters and features
computed in a fixed time window defined by the user. Computed feature values and filtered data values can also
be read through the FIFO buffer.
Machine learning processing is based on logical processing composed of a series of configurable nodes
characterized by "if-then-else" conditions where the "feature" values are evaluated against defined thresholds.
Figure 13. Machine learning core in the IIS2DULPX
Machine
learning core
logical processing
Sensor
data
Computation
block
Decision
tree
Accelerometer
Results
Temperature/AH/Qvar
Features
Filters
Meta-classifier
The IIS2DULPX can be configured to run up to 4 decision trees simultaneously and independently and every
decision tree can generate up to 16 results. The total number of nodes can be up to 128.
The results of the machine learning processing are available in dedicated output registers readable from the
application processor at any time.
The IIS2DULPX machine learning core can be configured to generate an interrupt when a change in the result
occurs.
5.9
Adaptive self-configuration (ASC)
The IIS2DULPX supports the adaptive self-configuration (ASC) feature, which allows the FSM to automatically
reconfigure the device in real time based on the detection of a specific motion pattern or based on the output of a
specific decision tree configured in the MLC, without any intervention from the host processor. The FSM can write
a subset of the device registers using the SETR command, which allows indicating the register address and the
new value to be written in such a register. The access to these device registers is mutually exclusive with respect
to the host.
IIS2DULPX
Digital main blocks and embedded low-power features
DS14580 - Rev 1
page 27/106



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