Original paper
Activity recognition through interactive machine learning in a dynamic sensor setting
Abstract
The advances in Internet of things lead to an increased number of devices generating and streaming data. These devices can be useful data sources for activity recognition by using machine learning. However, the set of available sensors may vary over time, e.g. due to mobility of the sensors and technical failures. Since the machine learning model uses the data streams from the sensors as input, it must be able to handle a varying number of input...
Paper Details
Title
Activity recognition through interactive machine learning in a dynamic sensor setting
Published Date
Jun 9, 2020
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