Ever wondered how smartphones or watches get to know that you have been inactive for a while or you eat a lot. The project is aimed to demystify how smartphones get to know this and build a system which can accurately detect the activity using some of the sensor data from the accelerometer and gyrometer in particular.
It is a multiclass classification problem aimed at bucketing the user activity into three buckets: (Non-hand-oriented activities, Hand-oriented activities - General, Hand-oriented activities - Eating)
- scipy.io, os, numpy, sklearn, pandas, matplotlib, seaborn, plotly, scipy, time