What is it about?
e propose a statistical method to detect the interval of interference, which is also known as the unexpected mesa, distinguishing activities based on the pre- and post-mesa intervals.
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Why is it important?
The results suggest that the proposed method outperforms previously pre- sented classification algorithms in terms of the accuracy of multi user activity recognition.
Perspectives
Future studies may utilize this method for improvement of existing smart home systems.
Sukjae Choi
Kyung Hee University
Read the Original
This page is a summary of: Identifying multiuser activity with overlapping acoustic data for mobile decision making in smart home environments, Expert Systems with Applications, September 2017, Elsevier,
DOI: 10.1016/j.eswa.2017.03.062.
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