Abstract

People have to do a number of activities in their day-to-day life. Though there are some activities that can be done only sequentially, most of the day-to-day activities do not impose such restriction. People very often tend to multitask with such activities. They interleave activities or go about them sequentially or concurrently. So, to be useful in real life situations, an activity recognition system must be able to recognize activities irrespective of how the user performs the activities. This paper proposes a novel simple approach that can be used to recognize sequential, interleaved and concurrent activities efficiently. The proposed method is tested with a publicly available dataset and is producing very promising results.

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