Unobstrusive human activity recognition using smartphones and Hidden Markov Models

Accelerometer data is sufficient to compute human activity recognition, even with only a single accelerometer in use. Such data can be used for many pervasive computing applications, user activity being interpreted as real-time contextual information. This paper investigates activity recognition on...

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Bibliographic Details
Main Authors: Wilde, Adriana (Author), Streeting, Robert (Author), Zaluska, Ed (Author)
Format: Article
Language:English
Published: 2013-06-12.
Subjects:
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