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...
Main Authors: | Wilde, Adriana (Author), Streeting, Robert (Author), Zaluska, Ed (Author) |
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Format: | Article |
Language: | English |
Published: |
2013-06-12.
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Subjects: | |
Online Access: | Get fulltext |
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