Abstract
In this paper we present a method of segmenting instrumented activities of daily living (IADL) using kinematic criterion coupled with sensor technology. To collect our training data we asked four neurologically healthy individuals to make a total of 60 cups of tea with a set order of ASs. We then evaluated our IADL segmentation technique in healthy individuals and patients with limb apraxia, and demonstrate that combining kinematic criterion with sensor data is provides an accurate means to segment IADL’s into relevant ASs.
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Hughes, C.M.L., Parekh, M., Hermsdörfer, J. (2013). Segmenting Instrumented Activities of Daily Living (IADL) Using Kinematic and Sensor Technology for the Assessment of Limb Apraxia. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39476-8_33
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DOI: https://doi.org/10.1007/978-3-642-39476-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39475-1
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