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The 6th International Conference on Ambient Systems, Networks and Technologies (ANT 2015) A Probabilistic Non-Monotonic Activity Qualifier
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nieves, Juan Carlos Partonia, Saeed Guerrero, Esteban Lindgren, Helena |
| Copyright Year | 2015 |
| Abstract | The International Classification of Functioning, Disability and Health (ICF) defines Functioning and Disability as the results of the interaction between the health conditions of a person and his/her environment. It considers a set of components and qualifiers to evaluate activity and participation. In this paper, we interpret a performance quantifier under a human activity recognition process. To this end, we introduce a novel definition of an activity which is based on ICF guidelines. This definition gives place to a probabilistic non-monotonic activity qualifier. In order to recognize an activity according to our novel activity's definition, we explore non-monotonic reasoning technics to capture domain knowledge in terms of action specification languages. By considering an action specification language, called C TA ID, and Answer Set Programming, we propose and develop a system called ActRec system which takes background information into consideration and recognize activities according to our suggested definition. Moreover, we show that by aggregating our probabilistic non-monotonic activity qualifier, we are able of detecting complex activities, e.g., long-term activities. We illustrate our approach in the context of an ambient assisted living environment called As-A-Pal. c |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://umu.diva-portal.org/smash/get/diva2:799240/FULLTEXT01.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
