Activity classification using a single wrist-worn accelerometer
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Hongnian Yu | Saisakul Chernbumroong | Anthony S. Atkins | A. Atkins | Hongnian Yu | S. Chernbumroong
[1] S. Yoo,et al. Physical Activity Recognition Using a Single Tri-Axis Accelerometer , 2009 .
[2] Ilkka Korhonen,et al. Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.
[3] Xi Long,et al. Single-accelerometer-based daily physical activity classification , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[4] Weihua Sheng,et al. Recognizing human daily activity using a single inertial sensor , 2010, 2010 8th World Congress on Intelligent Control and Automation.
[5] Yeh-Liang Hsu,et al. A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring , 2010, Sensors.
[6] Cuba Gyllensten,et al. Physical Activity Recognition in Daily Life using a Triaxial Accelerometer , 2010 .
[7] Diogo R. Ferreira,et al. Preprocessing techniques for context recognition from accelerometer data , 2010, Personal and Ubiquitous Computing.
[8] Johannes Peltola,et al. Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.
[9] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[10] Hongnian Yu,et al. Perception of Smart Home Technologies toAssist Elderly People , 2010 .
[11] Jeen-Shing Wang,et al. Development of a portable activity detector for daily activity recognition , 2009, 2009 IEEE International Symposium on Industrial Electronics.
[12] Ig-Jae Kim,et al. Activity Recognition Using Wearable Sensors for Elder Care , 2008, 2008 Second International Conference on Future Generation Communication and Networking.
[13] Bernt Schiele,et al. Towards Less Supervision in Activity Recognition from Wearable Sensors , 2006, 2006 10th IEEE International Symposium on Wearable Computers.
[14] Matthias Struck,et al. User-friendly system for recognition of activities with an accelerometer , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.
[15] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[16] 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.
[17] Juha Röning,et al. Clustering-based activity classification with a wrist-worn accelerometer using basic features , 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.
[18] Gwenn Englebienne,et al. An activity monitoring system for elderly care using generative and discriminative models , 2010, Personal and Ubiquitous Computing.
[19] Jeen-Shing Wang,et al. Activity Recognition Using One Triaxial Accelerometer: A Neuro-fuzzy Classifier with Feature Reduction , 2007, ICEC.
[20] Tae-Seong Kim,et al. A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer , 2010, IEEE Transactions on Information Technology in Biomedicine.
[21] Nigel H. Lovell,et al. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring , 2006, IEEE Transactions on Information Technology in Biomedicine.
[22] HyungDal Park,et al. A study on the activity classification using a triaxial accelerometer , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).