Multicolumn Bidirectional Long Short-Term Memory for Mobile Devices-Based Human Activity Recognition

@article{Tao2016MulticolumnBL,
  title={Multicolumn Bidirectional Long Short-Term Memory for Mobile Devices-Based Human Activity Recognition},
  author={Dapeng Tao and Yonggang Wen and Richang Hong},
  journal={IEEE Internet of Things Journal},
  year={2016},
  volume={3},
  pages={1124-1134}
}
The ever-growing popularity of mobile devices equipped with accelerometers has provided the opportunity to capture the semantic aspects of human activity and improve user experiences with behavior-based recommendations. These functions depend heavily on the accuracy of human activity recognition, and thus real applications that use mobile devices-based human activity recognition systems (MARSs) need to seamlessly incorporate the information carried by newly labeled training samples. Motivated… CONTINUE READING
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