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Cited by 22 publications
(19 citation statements)
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“…In our experiments, we showed that the effect of the location information on classifier performance is dependent on the activities and the locations involved. These findings are consistent with previous results found in the literature [9], [2]. Another motivation for obtaining location information is due to the resource optimization while running the sensing applications.…”
Section: Introductionsupporting
confidence: 94%
“…In our experiments, we showed that the effect of the location information on classifier performance is dependent on the activities and the locations involved. These findings are consistent with previous results found in the literature [9], [2]. Another motivation for obtaining location information is due to the resource optimization while running the sensing applications.…”
Section: Introductionsupporting
confidence: 94%
“…The testing scenarios for all of these studies are summarized in Table 2.10, where NA stands for not available. For some studies, there was no information available on how they tested their implemented systems [51,78,69,63,73,53,54,71]. …”
Section: Validation Of Online Activity Recognitionmentioning
confidence: 99%
“…They are suitable for running on mobile phones with reasonable recognition performance [7,8]. They are implemented on mobile phones in various studies; i.e., Naive Bayes in [11,72,68], decision tree in [54,63,56] and KNN in [69,70,71,68]. To make this work easily reproducible, we use these classifiers in their default mode with very few changes.…”
Section: Complex Human Activity Recognition With Smartphonesmentioning
confidence: 99%
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