Anantavrasilp, Isara

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Anantavrasilp, Isara
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isara.an@kmitl.ac.th

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    Item type:Publication,
    Analysis of optimal sensor positions for activity classification and application on a different data collection scenario
    (2017-04-05)
    Pannurat, Natthapon
    ;
    Thiemjarus, Surapa
    ;
    Nantajeewarawat, Ekawit
    ;
    Anantavrasilp, Isara
    This paper focuses on optimal sensor positioning for monitoring activities of daily living and investigates different combinations of features and models on different sensor positions, i.e., the side of the waist, front of the waist, chest, thigh, head, upper arm, wrist, and ankle. Nineteen features are extracted, and the feature importance is measured by using the Relief-F feature selection algorithm. Eight classification algorithms are evaluated on a dataset collected from young subjects and a dataset collected from elderly subjects, with two different experimental settings. To deal with different sampling rates, signals with a high data rate are down-sampled and a transformation matrix is used for aligning signals to the same coordinate system. The thigh, chest, side of the waist, and front of the waist are the best four sensor positions for the first dataset (young subjects), with average accuracy values greater than 96%. The best model obtained from the first dataset for the side of the waist is validated on the second dataset (elderly subjects). The most appropriate number of features for each sensor position is reported. The results provide a reference for building activity recognition models for different sensor positions, as well as for data acquired from different hardware platforms and subject groups.
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    Item type:Publication,
    Factors influencing the usage of bicycles on university campuses: A case study of universities in Thailand
    (2023-12-01)
    Pakdeewanich, Chitsanu
    ;
    Anantavrasilp, Isara
    ;
    Tiyarattanachai, Ronnachai
    University campuses usually consist of many buildings with different functions, e.g., classrooms, laboratories, offices, and cafeterias. In turn, students and university employees may commute between these buildings several times a day. Organizing in-campus transportation suitable for the campus’ characteristics and the travel behavior of the community is, therefore, a critical and challenging task. This paper focuses on using a bicycle as a mode of transport on university campuses. We analyzed the traveler's demographic, behaviors, and their attitudes toward cycling by conducting a survey covering students, faculty, and staff in several universities. In total, we have collected 1,433 responses from 19 universities across Thailand. According to the responses, most undergrad students use motorcycles and public transport as their primary modes of transport. In contrast, postgrad students, faculty, and staff mainly use private cars. Only 2.9% of all respondents use bicycles regularly. By applying Binary Logistic Regression to the responses data, we found that the demographic factors, including residency and mode of transport, are important determinants of bicycle use on university campuses. Also, lacking dedicated bicycle lanes and long travel times are main obstacles preventing people from cycling within university campuses. Based on these results, the study suggests that improving the availability and accessibility of bicycle facilities could encourage more people to use bicycles as a sustainable mode of transport on university campuses.