Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
First,thank you very much for your contribution.Is your input acceleration and angular velocity sequence data?But I observe that main.py is a line input to the LSTM network.Can a piece of data predict an action?If it is sequential data, can you share your preprocessed data?Thank you!
@ani8897 can you help me on this ?
I want to ask what is the number in the column of arrival time of the data set?Looking forward to your reply.Thanks.
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