Advertisement

Introduction

  • Jorge Luis Reyes OrtizEmail author
Chapter
  • 1.1k Downloads
Part of the Springer Theses book series (Springer Theses)

Abstract

In the last years, recent advances in computing and sensing technologies have contributed with novel ideas aiming to solve people’s needs in a wide range of situations: from basic daily living essentials such as personal care, feeding and mobility, to more complex social issues including health, education and security.

Keywords

Active Information Resource Specifically Support Vector Machine (SVM) Ambient Assisted Living (AAL) Activity Filtering Module Smartphone Inertial Sensors 
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.

References

  1. A.T. Campbell, S.B. Eisenman, N.D. Lane, E. Miluzzo, R.A. Peterson, H. Lu, X. Zheng, M. Musolesi, K. Fodor, G.-S. Ahn, The rise of people-centric sensing. IEEE Internet Comput. 12, 12–21 (2008)Google Scholar
  2. L. Chen, J. Hoey, C.D. Nugent, D.J. Cook, Z. Yu, Sensor-based activity recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 42, 790–808 (2012)CrossRefGoogle 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. J. Reyes-Ortiz, D. Anguita, A. Ghio, L. Oneto, X. Parra, Human activity recognition using smartphones data set. (2013), http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CETpDUniversitat Politècnica de CatalunyaBarcelonaSpain

Personalised recommendations