Description: predicting the trajectory of human movement in a space where there is no GPS signal can be performed by analyzing data from accelerometers and gyroscopes of wearable and mobile devices.
Context: solving the indoor navigation problem.
Decision: a neural network model of trajectory prediction is constructed.
Results: The project was carried out, the solution was patented by the customer:
Solution error: less than 5% of the distance travelled;
The neural network model is patented;
Two scientific articles were written.
To build the model, we used:
Wearable device data;
Information about the location of the wearable device;