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IIS2ICLX 데이터시트(PDF) 6 Page - STMicroelectronics |
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IIS2ICLX 데이터시트(HTML) 6 Page - STMicroelectronics |
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6 / 119 page ![]() 2.2 Machine learning core The IIS2ICLX 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 (for example motion, pressure, temperature, magnetic data, and so forth) matches a user-defined set of classes. Typical examples of applications could be anomalous vibration recognition, complex movement, or condition identification, activity detection, and so forth. The IIS2ICLX machine learning core works on data patterns coming from the accelerometer, but it is also possible to connect and process external sensor data (from a gyroscope or additional external inclinometer/accelerometer, temperature or pressure sensors) by using the sensor hub feature (mode 2). 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. 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 3. Machine learning core in the IIS2ICLX INPUT Sensor Data & Hub Machine Learning Core OUTPUT Accelerometer Results External Sensor Features Filters Interrupts Machine Learning Core Logical processing The IIS2ICLX can be configured to run up to 8 flows simultaneously and independently and every flow can generate up to 256 results. The total number of nodes can be up to 512. The results of the machine learning processing are available in dedicated output registers readable from the application processor at any time. The IIS2ICLX machine learning core can be configured to generate an interrupt when a change in the result occurs. IIS2ICLX Machine learning core DS13005 - Rev 7 page 6/119 |
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