Online Recognition with Postural Transition Awareness

  • Jorge Luis Reyes OrtizEmail author
Part of the Springer Theses book series (Springer Theses)


This chapter introduces an online HAR system for the classification of human activities using smartphones which deals with recurring postural transitions while sequences of activities are carried out (PTA-HAR). For its implementation, the linear SVMs presented in Chap.  6 are combined with temporal filters that use activity probability estimations within a limited time window. The benefits of these approaches are presented through experimentation with the HAR dataset and compared against the previously presented HAR systems.


Postural Transition Signal Conditioning Transition Filter Transitory Event Activity Probability Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. A. Bulling, U. Blanke, B. Schiele, A tutorial on human activity recognition using body-worn inertial sensors. ACM Comput. Surv. 46, 33 (2014)CrossRefGoogle Scholar
  2. A.M. Khan, Y.-K. Lee, S.Y. Lee, T.-S. Kim, A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer. IEEE Trans. Inf. Technol. Biomed. 14, 1166–1172 (2010)Google Scholar
  3. O. Lara, M. Labrador, A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutorials 1, 1–18 (2012)Google Scholar
  4. B. Najafi, K. Aminian, F. Loew, Y. Blanc, P.A. Robert, Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly. IEEE Trans. Biomed. Eng. 49, 843–851 (2002)CrossRefGoogle Scholar
  5. R. Rednic, E. Gaura, J. Kemp, J. Brusey, in Fielded autonomous posture classification systems: design and realistic evaluation, ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (2013)Google Scholar
  6. S. Zhang, P. McCullagh, C. Nugent, H. Zheng, in Activity monitoring using a smart phone’s accelerometer with hierarchical classification, International Conference on Intelligent Environments (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CETpDUniversitat Politècnica de CatalunyaBarcelonaSpain

Personalised recommendations