Layer recurrent neural network based intelligent user activity classification model using smartphone

[1]  Hanghang Tong,et al.  Activity recognition with smartphone sensors , 2014 .

[2]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[3]  Teddy Mantoro,et al.  Recognizing user activity based on accelerometer data from a mobile phone , 2011, 2011 IEEE Symposium on Computers & Informatics.

[4]  Hadi Tabatabaee Malazi,et al.  PAMS: A new position-aware multi-sensor dataset for human activity recognition using smartphones , 2017, 2017 19th International Symposium on Computer Architecture and Digital Systems (CADS).

[5]  Rong Liu,et al.  Recognizing Human Activities Based on Multi-Sensors Fusion , 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

[6]  Julián Colorado,et al.  Wearable-Based Human Activity Recognition Using an IoT Approach , 2017, J. Sens. Actuator Networks.

[7]  Gerhard Rigoll,et al.  Multi-view human activity recognition using motion frequency , 2017, 2017 IEEE International Conference on Image Processing (ICIP).

[8]  Huber Flores,et al.  Mobile Sensor Data Classification for Human Activity Recognition using MapReduce on Cloud , 2012, ANT/MobiWIS.