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

    NipunD
    New Poster

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

    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

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

    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.

       

     

    ARCH
    New Poster

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

    Hello there,

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

    Regards

    Jet
    Occasional Contributor

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

    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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