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Human Activity Recognition with Smart Watch based on H-SVM

Tang, Tao, Zheng, Qingxiang, Weng, Shaolin, Peng, Ao and Zheng, Huiru (2016) Human Activity Recognition with Smart Watch based on H-SVM. In: The 5th International Conference on Frontier Computing (FC 2016). ACM. 8 pp. [Conference contribution]

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Abstract

Activity recognition allows ubiquitous wearable device like smart watch to simplify the study and experiment. It is very convenient and extensibil-ity that we do study with the accelerometer sensor of a smart watch. In this paper, we use Samsung GEAR smart watch to collect data, then extract features, classify with H-SVM (Hierarchical Support Vector Machine) classifier and identify hu-man activities classification. Experiment results show great effect at low sam-pling rate, such as 10 Hz and 5 Hz, which will give us the energy saving. In most cases, the accuracies of activity recognition experiment are above 99%.

Item Type:Conference contribution (Paper)
Keywords:Human Activity Recognition; Smart Watch; H-SVM
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:35147
Deposited By: Dr Huiru Zheng
Deposited On:04 Oct 2016 11:25
Last Modified:17 Oct 2017 16:24

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