Activity and Context Recognition with Opportunistic Sensor Configurations

Opportunity Challenge - Download



  • 10th of November 2011: Challenge dataset with complete labels released.

  • 12th of August 2011: an issue arose in S1-Drill.dat in the 10th of August update. Please download the new version.

  • 10th of August 2011: challenge dataset for task A, B1, B2 has been re-issued!



Download here dataset for Tasks A, B1, B2 and C



Note: The dataset is publicly available and can be used  freely for research purposes. When using it, please cite the two references below. Also, let us know if you have any publication that uses this dataset (see current list of publications).

Data format

Data is provided as a text file containing a matrix where each row corresponds to a sample. The first column includes the sample timestamp (ms), and the last two columns include the labels for modes of locomotion and gestures respectively. See the example below corresponding to data for tasks A,B1,B2.


Note: Bluetooth sensors suffered from disconections during the recordings. These lead to missing samples that are coded as 'NaN' in the provided dataset.



  1. Roggen, D. et al. Collecting complex activity data sets in highly rich networked sensor environments Seventh International Conference on Networked Sensing Systems, 2010
  2. Lukowicz, P. et al. Recording a complex, multi modal activity data set for context recognition 1st Workshop on Context-Systems Design, Evaluation and Optimisation at ARCS, 2010, 2010


back to Challenge description


Do not hesitate to contact the consortium.


We develop opportunistic activity recognition systems: goal-oriented sensor assemblies spontaneously arise and self-organize to achieve a common activity and context recognition. We develop algorithms and architectures underlying context recognition in opportunistic systems.


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