NDLI: A Goal-Directed Human Activity Computing Model

Content Provider	IEEE Xplore Digital Library
Author	Jianwen Xiang Mori, A.
Copyright Year	2009
Abstract	A key aspect of ubiquitous computing is using sensor networks to effectively and unobtrusively infer human activities in their environment. A typical top-down method is to first label and decompose activities as sequences of actions with certain probabilities, and then use these predefined activity models for recognition and prediction. This method, however, does not capture the internal goals of different actions, and it only deals with those explicitly defined activity models. In this article, inspired by traditional activity theory and qualitative process theory, we present a goal directed human activity computing model. A formal activity ontology is proposed so as to capture the internal semantic relations between different atomic activities such as actions and processes. Several representative inference rules are introduced to predict the future activities in terms of the proposed activity ontology and the history of actions.
Starting Page	135
Ending Page	142
File Size	302007
Page Count	8
File Format	PDF
ISBN	9781424454037
e-ISBN	9781424454044
DOI	10.1109/I-SPAN.2009.121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Pervasive computing Ontologies Ubiquitous computing Application software Physics computing Prototypes Object detection Software algorithms Computer networks inference rule activity based computing ontology ubiquitous computing
Content Type	Text
Resource Type	Article

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