PACP: A Position-Independent Activity Recognition Method Using Smartphone Sensors
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[1] Christian Peter,et al. The hearing trousers pocket: activity recognition by alternative sensors , 2011, PETRA '11.
[2] Yutaka Hata,et al. Wearable Human Activity Recognition by Electrocardiograph and Accelerometer , 2013, 2013 IEEE 43rd International Symposium on Multiple-Valued Logic.
[3] Anthony Sarah,et al. Activity and device position recognition in mobile devices , 2011, UbiComp '11.
[4] Shenghui Zhao,et al. A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone , 2016, IEEE Sensors Journal.
[5] Bin Gu,et al. Incremental Support Vector Learning for Ordinal Regression , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[6] Hongyi Li,et al. An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors , 2012, IEEE Transactions on Information Technology in Biomedicine.
[7] Bin Gu,et al. Incremental learning for ν-Support Vector Regression , 2015, Neural Networks.
[8] Chen Hu,et al. An Autonomous Fall Detection and Alerting System Based on Mobile and Ubiquitous Computing , 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.
[9] Miguel A. Labrador,et al. A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.
[10] Paul J. M. Havinga,et al. Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors , 2016, Sensors.
[11] Naixue Xiong,et al. Steganalysis of LSB matching using differences between nonadjacent pixels , 2016, Multimedia Tools and Applications.
[12] Doruk Coskun,et al. Phone position/placement detection using accelerometer: Impact on activity recognition , 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).
[13] Raymond J. Mooney,et al. Improving Video Activity Recognition using Object Recognition and Text Mining , 2012, ECAI.
[14] Ye Li,et al. Identifying typical physical activity on smartphone with varying positions and orientations , 2015, Biomedical engineering online.
[15] Özlem Durmaz Incel,et al. User, device and orientation independent human activity recognition on mobile phones: challenges and a proposal , 2013, UbiComp.
[16] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[17] Özlem Durmaz Incel. Analysis of Movement, Orientation and Rotation-Based Sensing for Phone Placement Recognition , 2015, Sensors.
[18] Adam Harasimowicz,et al. Accelerometer-based Human Activity Recognition and the Impact of the Sample Size , 2014 .
[19] Kourosh Khoshelham,et al. User-Independent Motion State Recognition Using Smartphone Sensors , 2015, Sensors.
[20] Gary M. Weiss,et al. Cell phone-based biometric identification , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[21] Changseok Bae,et al. Unsupervised learning for human activity recognition using smartphone sensors , 2014, Expert Syst. Appl..
[22] Tadahiro Kuroda,et al. Wearable sensor-based human activity recognition from environmental background sounds , 2012, Journal of Ambient Intelligence and Humanized Computing.
[23] Bin Gu,et al. A Robust Regularization Path Algorithm for $\nu $ -Support Vector Classification , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[24] Kaori Fujinami. On-Body Smartphone Localization with an Accelerometer , 2016, Inf..
[25] Xuan Wang,et al. Multi-Features Encoding and Selecting Based on Genetic Algorithm for Human Action Recognition from Video , 2013 .
[26] Faicel Chamroukhi,et al. Physical Human Activity Recognition Using Wearable Sensors , 2015, Sensors.
[27] Surapa Thiemjarus,et al. Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location , 2011, 2011 International Conference on Body Sensor Networks.
[28] Hesham A. Rakha,et al. Applying Machine Learning Techniques to Transportation Mode Recognition Using Mobile Phone Sensor Data , 2015, IEEE Transactions on Intelligent Transportation Systems.
[29] Radha Poovendran,et al. Human activity recognition for video surveillance , 2008, 2008 IEEE International Symposium on Circuits and Systems.
[30] Paul J. M. Havinga,et al. A Survey of Online Activity Recognition Using Mobile Phones , 2015, Sensors.
[31] Yan Meng,et al. Human activity recognition in video using a hierarchical probabilistic latent model , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[32] XiongNaixue,et al. Steganalysis of LSB matching using differences between nonadjacent pixels , 2016 .
[33] Xingming Sun,et al. Structural Minimax Probability Machine , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[34] Hongnian Yu,et al. Activity classification using a single wrist-worn accelerometer , 2011, 2011 5th International Conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA) Proceedings.