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Real Time Activity Recognition Using a Cell Phone's AccelerometerWi-Fi
Enrique A. Garcia, Ramón Brena
94 - 103
10.3233/978-1-61499-080-2-94
Ambient Intelligence and Smart Environments
Volume 13: Workshop Proceedings of the 8th International Conference on Intelligent Environments
Abstract

In this paper, we present an implementation of a real time activity recognizer running on a cellphone. First, simple activity recognition from accelerometer data is performed and then, this information is fused with data from Wi-Fi Access Points to classify the activity being performed by the user. The training set consisted of 8 activities performed in an academic environment and the classification accuracy was 89.7% using a supervised learning approach.

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