Abstract:
Identifying human activity or action is difficult for any autonomous system. But the application
of human activity recognition system is limitless. Like, an assistive robot can help people by
identifying human activity. But identifying human activity is not easy task so in this work we
tried to detect human activity more accurately with combination of CNN and LSTM deep
learning algorithms with a large human activity dataset. In this work we first extract feature
using CNN algorithm then we will use those features to train a LSTM model for sequence
learning.
