I want to design a system that tracks the inertia of a moving device
Hi, I want to design a system that tracks the inertia of a moving device I'm willing to use the MPU-9250 sensor IMU and ESP32 as micro controllers and SIM7600 to collect GPS data And send them to the cloud, my question how do we combine the data of the IMU sensor and The GPS and how we can define if the object is moving or stopped using the imu sensor, do we need Machine learning?
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finding the difference between walking and running is tricky , yes the option can be machine learning ( like use past data of rate of change of co ordinates with respect to time of people of different height , and the change rate can be specified from the the current person height using the given data ) , But it will be simple if you add calibrating feature ( like during setup you can ask a person to run for 30sec and walk for 30sec , and by using the rate of change of co ordinates data of those...
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asper my knowledge mpu 9250 give value of its co ordinates around different axis , so asper me if you keep checking the value of the co ordinates and compare it to of previous instance ( say few sec or mil secs ) . If the co ordinates changes with time the body is in motion or else its stationary .
i want to detecte movment like walking running, etc kindof pedmoter
Solution
finding the difference between walking and running is tricky , yes the option can be machine learning ( like use past data of rate of change of co ordinates with respect to time of people of different height , and the change rate can be specified from the the current person height using the given data ) , But it will be simple if you add calibrating feature ( like during setup you can ask a person to run for 30sec and walk for 30sec , and by using the rate of change of co ordinates data of those 30 sec period you can set limits to differentiate between walking and running moment) .