Deep Activity Recognition Models with Triaxial Accelerometers

Deep Activity Recognition Models with Triaxial Accelerometers

Despite the widespread installation of accelerometers in almost all mobile phones and wearable devices, activity recognition using accelerometers is still immature due to the poor recognition accuracy of existing recognition methods and the scarcity of labeled training data. We consider the problem...

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Bibliographic Details
Main Authors: Abu Alsheikh, Mohammad, Selim, Ahmed, Niyato, Dusit, Doyle, Linda, Lin, Shaowei, Tan, Hwee-Pink
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2017
Subjects:
Learning
Human-Computer Interaction
Online Access:https://hdl.handle.net/10356/80702
http://hdl.handle.net/10220/42197
https://arxiv.org/abs/1511.04664

Internet

https://hdl.handle.net/10356/80702
http://hdl.handle.net/10220/42197
https://arxiv.org/abs/1511.04664

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