Recognition of different daily living activities using hidden Markov model regression
暂无分享,去创建一个
Mohamad Khalil | Yacine Amirat | Samer Mohammed | Khaled Safi | Ferhat Attal | Y. Amirat | S. Mohammed | M. Khalil | Khaled Safi | F. Attal
[1] Faicel Chamroukhi,et al. An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression , 2013, IEEE Transactions on Automation Science and Engineering.
[2] Jeen-Shing Wang,et al. Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers , 2008, Pattern Recognit. Lett..
[3] Lei Gao,et al. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems. , 2014, Medical engineering & physics.
[4] Friedrich Foerster,et al. Motion pattern and posture: Correctly assessed by calibrated accelerometers , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[5] Yuan-Ting Zhang,et al. Wearable Medical Systems for p-Health , 2008, IEEE Reviews in Biomedical Engineering.
[6] Luciano Bononi,et al. By train or by car? Detecting the user's motion type through smartphone sensors data , 2012, 2012 IFIP Wireless Days.
[7] Kenneth Meijer,et al. Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.
[8] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[9] Tatsuo Nakajima,et al. Feature Selection and Activity Recognition from Wearable Sensors , 2006, UCS.
[10] Faicel Chamroukhi,et al. Physical Human Activity Recognition Using Wearable Sensors , 2015, Sensors.
[11] Mohamad Khalil,et al. Physical activity recognition using inertial wearable sensors — A review of supervised classification algorithms , 2015, 2015 International Conference on Advances in Biomedical Engineering (ICABME).
[12] Ilias Maglogiannis,et al. Advanced patient or elder fall detection based on movement and sound data , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.
[13] Friedrich Foerster,et al. Detection of posture and motion by accelerometry : a validation study in ambulatory monitoring , 1999 .
[14] Jean-Yves Fourniols,et al. Smart wearable systems: Current status and future challenges , 2012, Artif. Intell. Medicine.
[15] Faicel Chamroukhi,et al. Joint segmentation of multivariate time series with hidden process regression for human activity recognition , 2013, Neurocomputing.
[16] Johannes Peltola,et al. Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.