Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks

Luke Hicks; Yih-Ling Hedley; Mark Elshaw; Abdulrahman Altahhan; Vasile Palade

doi:10.1007/978-3-319-44781-0

Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks

Luke Hicks, Yih-Ling Hedley, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade

College of Engineering, Environment & Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Human activity recognition (HAR) is a prominent research area attracting considerable interest in recent years.

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning – ICANN 2016
Editors	Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero
Place of Publication	Switzerland
Publisher	Springer Verlag
Pages	535-536
Volume	9887
ISBN (Print)	978-3-319-44780-3, 978-3-319-44781-0
DOIs	https://doi.org/10.1007/978-3-319-44781-0
Publication status	Published - 2016
Event	The 25th International Conference on Artificial Neural Networks - Barcelona, Spain Duration: 6 Sept 2016 → 9 Sept 2016

Conference

Conference	The 25th International Conference on Artificial Neural Networks
Abbreviated title	ICANN 2016
Country/Territory	Spain
City	Barcelona
Period	6/09/16 → 9/09/16

Bibliographical note

The full text is available from http://dx.doi.org/10.1007/978-3-319-44781-0

Access to Document

10.1007/978-3-319-44781-0

Cite this

Hicks, L., Hedley, Y.-L., Elshaw, M., Altahhan, A., & Palade, V. (2016). Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks. In A. E. P. Villa, P. Masulli, & A. J. P. Rivero (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2016 (Vol. 9887, pp. 535-536). Springer Verlag. https://doi.org/10.1007/978-3-319-44781-0

Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks. / Hicks, Luke; Hedley, Yih-Ling; Elshaw, Mark et al.
Artificial Neural Networks and Machine Learning – ICANN 2016. ed. / Alessandro E.P. Villa; Paolo Masulli; Antonio Javier Pons Rivero. Vol. 9887 Switzerland: Springer Verlag, 2016. p. 535-536.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Hicks, L, Hedley, Y-L, Elshaw, M, Altahhan, A & Palade, V 2016, Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks. in AEP Villa, P Masulli & AJP Rivero (eds), Artificial Neural Networks and Machine Learning – ICANN 2016. vol. 9887, Springer Verlag, Switzerland, pp. 535-536, The 25th International Conference on Artificial Neural Networks, Barcelona, Spain, 6/09/16. https://doi.org/10.1007/978-3-319-44781-0

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Smartphone Based Human Activity and Postural Transition Classification with Deep Stacked Autoencoder Networks

Abstract

Conference

Bibliographical note

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Cite this