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Espruino is a JavaScript interpreter for low-power Microcontrollers. This site is both a support community for Espruino and a place to share what you are working on.
@A1ex
Hello!
Has anyone tried to identify the event when the smartwatch is "on hand" and when it is "on the table"? I am unable to use data from the HRM sensor. Raw and processed data is not suitable. The sensor is providing irrelevant data. The accelerometer is also not suitable for the case if the smartwatch is on the table on the train, for example. How quickly (3-5 seconds) to understand that the smartwatch is taken off your hand or on your hand?
Any ideas?