Search Results - "Activity inference algorithm"

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  1. 1

    A GPS-based user-verified shipment survey method to supplement the commodity flow survey: survey design, platform, and case study by Jing, Peiyu, Guan, Jinping, Jeong, Kyungsoo, You, Linlin, Cheah, Lynette, Zhao, Fang, Ben-Akiva, Moshe

    ISSN: 0049-4488, 1572-9435
    Published: New York Springer US 01.06.2025
    Published in Transportation (Dordrecht) (01.06.2025)
    “… We customized the existing FMS—Freight to accommodate the shipment survey. Specifically, we refined the stop detection, mode detection, and activity inference algorithms…”
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    Journal Article
  2. 2

    Quantifying the nighttime economy–housing separation from a human activity standpoint: A case study in Shenzhen, China by Li, Mingxiao, Tu, Wei, Tong, Huan, Cao, Jinzhou, Zhong, Chen, Zhang, Hengcai, Zhu, Jiasong, Li, Qingquan

    ISSN: 0264-2751, 1873-6084
    Published: Elsevier Ltd 01.05.2024
    Published in Cities (01.05.2024)
    “… By linking massive mobile phone data and an anchor-based activity inference algorithm, we propose a data-driven framework to quantify the separate development of the nighttime economy and housing…”
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    Journal Article
  3. 3

    Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation by Bayat, Sayeh, Naglie, Gary, Rapoport, Mark J, Stasiulis, Elaine, Chikhaoui, Belkacem, Mihailidis, Alex

    ISSN: 2561-7605, 2561-7605
    Published: Toronto JMIR Publications 01.07.2020
    Published in JMIR aging (01.07.2020)
    “…Background: Outdoor mobility is an important aspect of older adults’ functional status. GPS has been used to create indicators reflecting the spatiotemporal…”
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    Journal Article
  4. 4

    Development of a contextual thinking engine in mobile devices by Ruizhi Chen, Tianxing Chu, Jingbin Liu, Yuwei Chen, Liang Chen, Wenchao Xu, Xiao Li, Hyyppa, Juha, Jian Tang

    Published: IEEE 01.11.2014
    “…This paper introduces a framework of contextual thinking in mobile devices. It is based on real-time sensing of local time, significant locations,…”
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    Conference Proceeding
  5. 5

    Inferring User Activities from IoT Device Events in Smart Homes: Challenges and Opportunities by Lin, Xuanli, Wan, Yinxin, Xu, Kuai, Wang, Feng, Xue, Guoliang

    ISSN: 2637-9430
    Published: IEEE 01.07.2022
    “… In this paper, we first identify the challenges faced by the existing user activity inference algorithms and the root causes of their poor performances on certain types of inputs…”
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    Conference Proceeding
  6. 6

    Validation of rule-based inference of selected independent activities of daily living by Alwan, Majd, Leachtenauer, Jon, Dalal, Siddharth, Kell, Steve, Turner, Beverely, Mack, David, Felder, Robin

    ISSN: 1530-5627
    Published: United States 01.10.2005
    Published in Telemedicine journal and e-health (01.10.2005)
    “… Rule-based activity inference algorithms were refined on data from 17 days, and data from the remaining 20 days were used for validation…”
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    Journal Article