Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy

@inproceedings{Schuldhaus2014TowardsBD,
  title={Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy},
  author={Dominik Schuldhaus and Heike Leutheuser and Bjoern M. Eskofier},
  booktitle={BODYNETS},
  year={2014}
}
Activity recognition is mandatory in order to provide feedback about the individual quality of life. Usually, activity recognition algorithms are evaluated on one specific database which is limited in the number of subjects, sensors and type of activities. In this paper, a novel database fusion strategy was proposed which fused three different publicly available databases to one large database consisting of 42 subjects. The fusion of databases addresses the two attributes high volume and high… CONTINUE READING

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