Feb 20, 2015 · This paper proposes a light-weight online classification method to detect smarthpone user's postural actions, such as sitting, standing, ...
Oct 22, 2024 · This paper proposes a light-weight online classification method to detect smarthpone user's postural actions, such as sitting, standing, ...
Apr 1, 2013 · Proposed is a light-weight unsupervised decision tree based classification method to detect the user's postural actions, such as sitting, ...
Proposed is a light-weight unsupervised decision tree based classification method to detect the user's postural actions, such as sitting, standing, ...
Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data · Advancing from offline to online activity recognition with wearable ...
Abstract—This paper proposes a light-weight online classifica- tion method to detect smarthpone user's postural actions, such as.
This paper proposes a mild-weight online classification method to locate the user-centric postural movements, inclusive of sitting, standing, walking, ...
Unsupervised posture detection by smartphone accelerometer
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Oct 22, 2024 · Proposed is a light-weight unsupervised decision tree based classification method to detect the user's postural actions, such as sitting, ...
The dataset was collected from 9 individual subjects performing 6 different activities--sitting, standing, walking, cycling, and stairs ascent/descent.
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Light-weight online unsupervised posture detection by smartphone accelerometer. Ö Yürür, CH Liu, W Moreno. IEEE Internet of Things Journal 2 (4), 329-339, 2015.