Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs
Díaz Rodríguez N., Harma A., Huitzil I., Bobillo F., Straccia U, Helaoui R.
Semantic lifestyle profiling Fuzzy Description Logics
Automatic lifestyle profiling to categorize users according to their daily routine-based lifestyles is an unexplored area. Despite the current trends on having wearable devices that generate large amounts of heterogeneous data, figuring out the lifestyle patterns of people is not a trivial task. We present Lifestyles-KG, a knowledge graph (fuzzy ontology) for semantic reasoning from wearable sensors. It can serve as a pre-processing taxonomical step that can be integrated into further prediction techniques for intuitively categorizing fuzzy lifestyle concepts, treats or profiles. The ultimate aim is to help tasks such as long-term human behavior classification and consequently, improve virtual coaching or customize lifestyle recommendation and intervention programs from free form non-labelled sensor data.
Source: AKBC-17 - 6th Workshop on Automated Knowledge Base Construction, colocated with Thirty-First Annual Conference on Neural Information Processing Systems (NIPS-17), Long Beach, California, USA, December 8th, 2017
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@inproceedings{oai:it.cnr:prodotti:380261,
title = {Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs},
author = {Díaz Rodríguez N. and Harma A. and Huitzil I. and Bobillo F. and Straccia U and Helaoui R.},
booktitle = {AKBC-17 - 6th Workshop on Automated Knowledge Base Construction, colocated with Thirty-First Annual Conference on Neural Information Processing Systems (NIPS-17), Long Beach, California, USA, December 8th, 2017},
year = {2017}
}
0000-0001-5998-6757