Position-aware activity recognition with wearable devices
暂无分享,去创建一个
Timo Sztyler | Heiner Stuckenschmidt | Wolfgang Petrich | Wolfgang Petrich | H. Stuckenschmidt | W. Petrich | T. Sztyler
[1] Timo Sztyler,et al. On-body localization of wearable devices: An investigation of position-aware activity recognition , 2016, 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[2] Paul Lukowicz,et al. Where am I: Recognizing On-body Positions of Wearable Sensors , 2005, LoCA.
[3] Jesse Hoey,et al. Sensor-Based Activity Recognition , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[4] Gary M. Weiss,et al. The Impact of Personalization on Smartphone-Based Activity Recognition , 2012, AAAI 2012.
[5] Miguel A. Labrador,et al. A Survey on Human Activity Recognition using Wearable Sensors , 2013, IEEE Communications Surveys & Tutorials.
[6] Bernt Schiele,et al. A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.
[7] Gary M. Weiss,et al. Activity recognition using cell phone accelerometers , 2011, SKDD.
[8] 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.
[9] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Xingshe Zhou,et al. Energy-Efficient Motion Related Activity Recognition on Mobile Devices for Pervasive Healthcare , 2014, Mob. Networks Appl..
[11] Majid Sarrafzadeh,et al. On-body device localization for health and medical monitoring applications , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[12] Deokjai Choi,et al. Personalization in Mobile Activity Recognition System Using K-Medoids Clustering Algorithm , 2013, Int. J. Distributed Sens. Networks.
[13] Lin Sun,et al. Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations , 2010, UIC.
[14] David Howard,et al. A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data , 2009, IEEE Transactions on Biomedical Engineering.
[15] 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).
[16] Kent Larson,et al. Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor , 2007, 2007 11th IEEE International Symposium on Wearable Computers.
[17] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[18] Didier Stricker,et al. Personalized mobile physical activity recognition , 2013, ISWC '13.
[19] Donghai Guan,et al. Activity Recognition Based on Semi-supervised Learning , 2007, 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007).
[20] Louise Barkhuus,et al. Empowerment through seamfulness: smart phones in everyday life , 2011, Personal and Ubiquitous Computing.
[21] Jeen-Shing Wang,et al. Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers , 2008, Pattern Recognit. Lett..
[22] Guang-Zhong Yang,et al. Sensor Positioning for Activity Recognition Using Wearable Accelerometers , 2011, IEEE Transactions on Biomedical Circuits and Systems.
[23] Ana M. Bernardos,et al. Activity logging using lightweight classification techniques in mobile devices , 2012, Personal and Ubiquitous Computing.
[24] Billur Barshan,et al. Human Activity Recognition Using Inertial/Magnetic Sensor Units , 2010, HBU.
[25] Michael L. Littman,et al. Activity Recognition from Accelerometer Data , 2005, AAAI.
[26] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[27] 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.