LSM6DSOX machine learning core official Chinese information
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The purpose of this document is to provide information on the machine learning core functionality available in the LSM6DSOX. The machine learning processing capability allows to offload some algorithms from the application processor to the MEMS sensor, thus continuing to reduce power consumption. The machine learning processing capability is obtained through decision tree logic. A decision tree is a mathematical tool consisting of a series of configurable nodes. Each node takes an "if-then-else" condition and evaluates the input signal (represented by a statistical parameter calculated from the sensor data) against a threshold value. The LSM6DSOX can be configured to run up to 8 decision trees simultaneously and independently. The decision trees are stored in the device and produce results in dedicated output registers. The results of the decision trees can be read at any time by the application processor. In addition, an interrupt can be generated for each change in the decision tree result.
an5259-lsm6dsox-machine-learning-core-stmicroelectronics[1].pdf
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