Human Action Recognition from Multi-Sensor Stream Data by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Xie:evoapps13,
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author = "Feng Xie and Andy Song and Vic Ciesielski",
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title = "Human Action Recognition from Multi-Sensor Stream Data
by Genetic Programming",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
EvoRISK, EvoROBOT, EvoSTOC",
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year = "2013",
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month = "3-5 " # apr,
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editor = "Anna I. Esparcia-Alcazar and Antonio Della Cioppa and
Ivanoe {De Falco} and Ernesto Tarantino and
Carlos Cotta and Robert Schaefer and Konrad Diwold and
Kyrre Glette and Andrea Tettamanzi and
Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and
Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and
Aniko Ekart and Francisco {Fernandez de Vega} and
Sara Silva and Evert Haasdijk and Gusz Eiben and
Anabela Simoes and Philipp Rohlfshagen",
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series = "LNCS",
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volume = "7835",
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publisher = "Springer Verlag",
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address = "Vienna",
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publisher_address = "Berlin",
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pages = "418--427",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-37191-2",
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DOI = "doi:10.1007/978-3-642-37192-9_42",
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size = "10 pages",
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abstract = "This paper presents an approach to recognition of
human actions such as sitting, standing, walking or
running by analysing the data produced by the sensors
of a smart phone. The data comes as streams of parallel
time series from 21 sensors. We have used genetic
programming to evolve detectors for a number of actions
and compared the detection accuracy of the evolved
detectors with detectors built from the classical
machine learning methods including Decision Trees,
Naive Bayes, Nearest Neighbour and Support Vector
Machines. The evolved detectors were considerably more
accurate. We conclude that the proposed GP method can
capture complex interaction of variables in parallel
time series without using predefined features.",
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notes = "
EvoApplications2013 held in conjunction with
EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
- }
Genetic Programming entries for
Feng Xie
Andy Song
Victor Ciesielski
Citations