 Hi everybody! My name is Mauro Scandiuzzo. I'm a field application engineer for ST Microelectronics and I cover the MEMS sensor. In particular today I would like to show you how it's possible to use a unique graphical user interface without an hardware. Assuming then you are doing your data logging and you want to use our 6DSOX to implement a feature of a machine learning core and design your decision tree. You don't need to have an hardware, you just need to have a Unico and you can use that offline. Another important feature that I would like to mention about the Unico, a graphical user interface, then is possible to work without the hardware. So without using our profimental. How is possible to do that? So when you download the package actually and you type Unico in our ST.com website and you download the software you can also when you finish the installation process called Unico from here open the graphical user interface at this point you can work offline and now you can make that. So if you look here there is on the bottom part communication with motherboard enabled. So if you disable that you press this at this point you can work offline. Let's say for device like SM6DSO and DSOX where you can design the finished machine and also the machine learning core is a suitable tool because for instance for the machine learning core you might have the data logging based on your hardware. So at this point you can use our software just for collecting the data and create your machine learning and your decision tree algorithm. How you can make it that? So you select INEMO inertial module, you scroll down, you select the LSM6DSOX and even if you don't have the hardware attached to your board and actually is gonna pop up and say you are using Unico without a motherboard and that is fine you press okay at this point you have all the capability of design your machine learning core just pressing that and with this you can go through you can update the file then you have it for your data logging and build up your configuration based on the tool you can select the device that you are using select the auto data rate then you perform the data logging you say that you want to perform the machine learning core if you are using accelerometer, accelerometer and gyro accelerometer and gyro or an external sensor or just accelerometer and external sensor assuming then you are using just accelerometer you go through the full scale how you perform the data logging for example 2g the auto data rate of your data logging then has to be consistent with that and also the machine learning core has to be consistent with that auto data rate that cannot be higher than that assuming that in this case we leave the same the number of the CGO3 that you want to apply for example 1 the number of sample then you want to use for every window length like for example if you want to use 20 sample you select here 20 at this point you select if you want to have some filter custom filter or not and you select the feature then you are able to use like for example if in the case then you want to do monitor vibration he has peak to peak detection so the peak to peak detection you just need to apply this peak detection on for example enable the vector value you go ahead at this point so you can perform your decision tree using also whack or up in mind or whatever other aggregate but just offline using your data logging without using our hardware thank you very much today for watching the video and so if you need any kind of more information please go to our website www.st.com you can find a lot of information a lot of collateral and please enjoy the experience to work with st.com