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    Can we use BHI260AB for machine learning purposes to run a trained decision tree model ?

    Can we use BHI260AB for machine learning purposes to run a trained decision tree model ?

    NipunD
    New Poster

    I am currently working on a Wrist Band project and I want a IMU sensor which can be used with following properties.

    1. Single Tap/ Double tap detection
    2. Activity/ Inactivity Detection
    3. ODR = 52Hz
    4. Can be used for Machine Learning purposes
    5. Low Power
    6. Small in size

    Here I thought BHI260AB might be a good option. But I have a doubt that we can use this sensor to run a machine learning model. Please some one help

    3 REPLIES 3

    Jet
    Occasional Contributor

    Hi Sir:

         I also think BHI260AB is a good idea for you.

         But before you make a decision, recommend you to contact the local FAE to further know Machine Learning of BHI260AB,.

        You should confirm what your purpose and application scenarios are because currently the Self-Learning of BHI260 still have some limitations.

       

     

    Hello there,

    What is the digital resolution of  BHI260AB?? What is the smallest lenght we can measure with it?

    Regards

    Jet
    Occasional Contributor

    Hi Sir:

        Please see BHI260AB datasheet, TABLE 105  out signal acceleromater and TABLE 107 out signal gyroscope, you can find physical ACC and GYRO resolution and sensitivity.

        Thank you.

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