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IIS2DULPX Datasheet(PDF) 27 Page - STMicroelectronics |
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IIS2DULPX Datasheet(HTML) 27 Page - STMicroelectronics |
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27 / 106 page ![]() 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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