Abstract. Activity recognition allows ubiquitous mobile devices like smartphones to be context-aware and also enables new appli- cations, such as mobile ...
This paper compares the performance of universal/impersonal activity recognition models with those of personal models, which are trained using labeled data ...
PDF | Activity recognition allows ubiquitous mobile devices like smartphones to be context-aware and also enables new appli-cations, such as mobile.
Apr 28, 2014 · Activity recognition allows ubiquitous mobile devices like smartphones to be context-aware and also enables new applications, such as mobile ...
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Sep 7, 2022 · This paper describes Actitracker, a smartphone-based activitymonitoring service that helps people ensure that they receive sufficient ...
Abstract. Smartphones incorporate many diverse and powerful sen- sors, which creates exciting new opportunities for data min-.
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Our results indicate that the per-sonal models perform dramatically better than the imper-sonal models—even when trained from only a few minutes worth of data.
This paper shows how standard classification algorithms can use labeled smartphone-based accelerometer data to identify the physical activity a user is ...
Anguita, et al., Energy Efficent Smartphone-Based Activity Recognition using. Fixed-Point Arithmatic, Journal of Universal COmputer Science vol. 19, no. 9 ...
The proposed framework shows promising results in recognizing human activities compared to other similar studies and achieves an accuracy of 99.43% for activity ...