Publication | Closed Access
Activity recognition from accelerometer data
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16
References
2005
Year
Unknown Venue
Activity recognition is a classification problem within the broader context of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classification problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
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