Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect

Samuele Gasparrini; Enea Cippitelli; Ennio Gambi; Susanna Spinsante; Francisco Florez Revuelta

doi:10.1049/ic.2015.0133

Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect

Samuele Gasparrini, Enea Cippitelli, Ennio Gambi, Susanna Spinsante, Francisco Florez Revuelta

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Proceedings of IET International Conference on Technologies for Active and Assisted Living (TechAAL)
Publisher	IEEE
ISBN (Print)	9781785611599
DOIs	https://doi.org/10.1049/ic.2015.0133
Publication status	Published - 2015
Externally published	Yes

Bibliographical note

Note: Published version of: Gasparrini, Samuele, Cippitelli, Enea, Gambi, Ennio, Spinsante, Susanna and Florez Revuelta, Francisco (2015) Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect. In: IET International Conference on Technologies for Active and Assisted Living (TechAAL 2015); 05 Nov 2015, Kingston upon Thames, U.K.

Keywords

Computer science and informatics

Access to Document

10.1049/ic.2015.0133

Gasparrini-S-33973-AAMAccepted author manuscript, 1.73 MBLicence: Unspecified

http://dx.doi.org/10.1049/ic.2015.0133

Cite this

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title = "Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect",

keywords = "Computer science and informatics",

author = "Samuele Gasparrini and Enea Cippitelli and Ennio Gambi and Susanna Spinsante and \{Florez Revuelta\}, Francisco",

note = "Note: Published version of: Gasparrini, Samuele, Cippitelli, Enea, Gambi, Ennio, Spinsante, Susanna and Florez Revuelta, Francisco (2015) Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect. In: IET International Conference on Technologies for Active and Assisted Living (TechAAL 2015); 05 Nov 2015, Kingston upon Thames, U.K.",

year = "2015",

doi = "10.1049/ic.2015.0133",

language = "English",

isbn = "9781785611599",

booktitle = "Proceedings of IET International Conference on Technologies for Active and Assisted Living (TechAAL)",

publisher = "IEEE",

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Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect. / Gasparrini, Samuele; Cippitelli, Enea; Gambi, Ennio et al.
Proceedings of IET International Conference on Technologies for Active and Assisted Living (TechAAL). IEEE, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect

AU - Gasparrini, Samuele

AU - Cippitelli, Enea

AU - Gambi, Ennio

AU - Spinsante, Susanna

AU - Florez Revuelta, Francisco

N1 - Note: Published version of: Gasparrini, Samuele, Cippitelli, Enea, Gambi, Ennio, Spinsante, Susanna and Florez Revuelta, Francisco (2015) Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect. In: IET International Conference on Technologies for Active and Assisted Living (TechAAL 2015); 05 Nov 2015, Kingston upon Thames, U.K.

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KW - Computer science and informatics

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DO - 10.1049/ic.2015.0133

M3 - Chapter

SN - 9781785611599

BT - Proceedings of IET International Conference on Technologies for Active and Assisted Living (TechAAL)

PB - IEEE

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