Feature selection and activity recognition from wearable sensors

Susanna Pirttikangas, Kaori Fujinami, Tatsuo Nakajima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    138 Citations (Scopus)

    Abstract

    We describe our data collection and results on activity recognition with wearable, coin-sized sensor devices. The devices were attached to four different parts of the body: right thigh and wrist, left wrist and to a necklace on 13 different testees. In this experiment, data was from 17 daily life examples from male and female subjects. Features were calculated from triaxial accelerometer and heart rate data within different sized time windows. The best features were selected with forward-back ward sequential search algorithm. Interestingly, acceleration mean values from the necklace were selected as important features. Two classifiers (multilayer perceptrons and kNN classifiers) were tested for activity recognition, and the best result (90.61 % aggregate recognition rate for 4-fold cross validation) was achieved with a kNN classifier.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages516-527
    Number of pages12
    Volume4239 LNCS
    Publication statusPublished - 2006
    Event3rd International Symposium on Ubiquitous Computing Systems, UCS 2006 - Seoul
    Duration: 2006 Oct 112006 Oct 13

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4239 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other3rd International Symposium on Ubiquitous Computing Systems, UCS 2006
    CitySeoul
    Period06/10/1106/10/13

    Fingerprint

    Activity Recognition
    Wrist
    Feature Selection
    Necklace
    Feature extraction
    Classifiers
    Classifier
    Equipment and Supplies
    Sensor
    Numismatics
    Neural Networks (Computer)
    Thigh
    Human Body
    Sequential Algorithm
    Heart Rate
    Accelerometer
    Time Windows
    Multilayer neural networks
    Perceptron
    Accelerometers

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Pirttikangas, S., Fujinami, K., & Nakajima, T. (2006). Feature selection and activity recognition from wearable sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4239 LNCS, pp. 516-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4239 LNCS).

    Feature selection and activity recognition from wearable sensors. / Pirttikangas, Susanna; Fujinami, Kaori; Nakajima, Tatsuo.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4239 LNCS 2006. p. 516-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4239 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Pirttikangas, S, Fujinami, K & Nakajima, T 2006, Feature selection and activity recognition from wearable sensors. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4239 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4239 LNCS, pp. 516-527, 3rd International Symposium on Ubiquitous Computing Systems, UCS 2006, Seoul, 06/10/11.
    Pirttikangas S, Fujinami K, Nakajima T. Feature selection and activity recognition from wearable sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4239 LNCS. 2006. p. 516-527. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    Pirttikangas, Susanna ; Fujinami, Kaori ; Nakajima, Tatsuo. / Feature selection and activity recognition from wearable sensors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4239 LNCS 2006. pp. 516-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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