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Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation

Ward, Jamie A and Lukowicz, Paul and Tröster, Gerhard (2006) Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation. In: Second International Workshop, LoCA 2006, 2006-05-10 - 2006-05-11.

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    Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech and vision. Much of the problem stems from the often imprecise and ambiguous nature of the real-world events that an activity recognition system has to deal with. A recognised event might have variable duration, or be shifted in time from the corresponding real-world event. Equally it might be broken up into smaller pieces, or joined together to form larger events. Most evaluation attempts tend to smooth over these issues, using âÂ�Â�fuzzyâÂ�Â�boundaries, or some other parameter based error decision, so as to make possible the use of standard performance measures (such as insertions and deletions.) However, we argue that reducing the various facets of a activity system into limited error categories - that were originally intended for different problem domains - can be overly restrictive. In this paper we attempt to identify and characterise the errors typical to continuous activity recognition, and develop a method for quantifying them in an unambiguous manner.

    Item Type: Contribution to Conference (Paper)
    Journal or Publication Title: Second International Workshop, LoCA 2006
    Uncontrolled Keywords: cs_eprint_id ; 1627 cs_uid ; 382
    Subjects: ?? qa75 ??
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 13085
    Deposited By: ep_importer_comp
    Deposited On: 18 Jul 2008 11:16
    Refereed?: Yes
    Published?: Published
    Last Modified: 21 Jun 2018 02:08
    Identification Number:

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