Recognizing Hospital Care Activities with a Coat Pocket Worn Smartphone

Bahle, Gernot and Gruenerbl, Agnes and Lukowicz, Paul and Zeni, Mattia and Bignotti, Enrico and Giunchiglia, Fausto (2014) Recognizing Hospital Care Activities with a Coat Pocket Worn Smartphone. MobiCASE 2014, Houston, Texas USA : ICST.

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    In this work, we show how a smart-phone worn unobtrusively in a nurses coat pocket can be used to document the patient care activities performed during a regular morning routine. The main contribution is to show how, taking into account certain domain specific boundary conditions, a single sensor node worn in such an (from the sensing point of view) unfavorable location can still recognize complex, sometimes subtle activities. We evaluate our approach in a large real life dataset from day to day hospital operation. In total, 4 runs of patient care per day were collected for 14 days at a geriatric ward and annotated in high detail by following the performing nurses for the entire duration. This amounts to over 800 hours of sensor data including acceleration, gyroscope, compass, wifi and sound annotated with groundtruth at less than 1min resolution.

    Item Type: Departmental Technical Report
    FP7 Grant Agreement Number: Smart Society EU FP7 Project, 600854
    Department or Research center: Information Engineering and Computer Science
    Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885 Computer Engineering
    Uncontrolled Keywords: Activity Recognition, health care documenta- tion, real-world study
    Repository staff approval on: 05 Nov 2014 12:09

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