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The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work

2017; Multidisciplinary Digital Publishing Institute; Volume: 17; Issue: 3 Linguagem: Inglês

10.3390/s17030557

1424-8220

Joaquín Torres-Sospedra, Antonio R. Jiménez, Stefan Knauth, Adriano Moreira, Yair Beer, Toni Fetzer, Viet Cuong Ta, Raúl Montoliu, Fernando Seco, Germán Martín Mendoza-Silva, Óscar Belmonte, Athanasios Koukofikis, Maria João Nicolau, António Costa, Filipe Meneses, Frank Ebner, Frank Deinzer, Dominique Vaufreydaz, Trung‐Kien Dao, Eric Castelli,

Context-Aware Activity Recognition Systems

This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors’ estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.