AUTOMATISE: Multiple Aspect Trajectory Data Mining Tool Library

Autor: Tarlis Tortelli Portela, Vania Bogorny, Anna Bernasconi, Chiara Renso

Publikováno v: MDM 2022-23rd IEEE International Conference on Mobile Data Management, pp. 282–285, Paphos, Cyprus, Online, 6-9/06/2022
2022 23rd IEEE International Conference on Mobile Data Management (MDM)

ith the rapid increasing availability of information and popularization of mobility devices, trajectories have become more complex in their form. Trajectory data is now high dimensional, and often associated with heterogeneous sources of semantic dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c332fb951a557c4bc805a831ae8c117
https://doi.org/10.1109/mdm55031.2022.00060

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Movement Prediction using accelerometers in a human population

Autor: Xiao, L., He, Bing, Koster, A, Caserotti, P., Lange-Maia, B, Glynn, Nancy W, Harris, T. B., Crainiceanu, Ciprian M

Publikováno v: Biometrics, 72(2). Wiley-Blackwell
Xiao, L, He, B, Koster, A, Caserotti, P, Lange-Maia, B, Glynn, N W, Harris, T B & Crainiceanu, C M 2016, ' Movement prediction using accelerometers in a human population ', Biometrics, vol. 72, no. 2, pp. 513-524 . https://doi.org/10.1111/biom.12382

We introduce statistical methods for predicting the types of human activity at sub-second resolution using triaxial accelerometry data. The major innovation is that we use labeled activity data from some subjects to predict the activity labels of oth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e044e227cc0b56367902accd04c83c42
https://cris.maastrichtuniversity.nl/en/publications/aa16d6bd-1337-4295-8793-af820f5da035

Movement Prediction using accelerometers in a human population

Publikováno v: Biometrics. 72(2)

We introduce statistical methods for predicting the types of human activity at sub-second resolution using triaxial accelerometry data. The major innovation is that we use labeled activity data from some subjects to predict the activity labels of oth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::491598001d81978019a62db3f15282a2
https://doi.org/10.1111/biom.12382

Movement Prediction using accelerometers in a human population

Publikováno v: Biometrics. 72(2):524-524

We introduce statistical methods for predicting the types of human activity at sub-second resolution using triaxial accelerometry data. The major innovation is that we use labeled activity data from some subjects to predict the activity labels of oth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od________83::48cb11b3e8c1cbdd69edaf200677b193
https://doi.org/10.1111/biom.12382