Activity and Context Recognition with Opportunistic Sensor Configurations

Challenge dataset: update (2)

12.08.2011: corrections to S1-Drill.dat. There has beena missing sample on the 1st line of the file (115 columns instead of 116). Fixed.
 

Challenge dataset: updated version issued!

10th of August 2011: challenge dataset for task A, B1, B2 has been re-issued! Please download the new version.
See the download page for information about the changes.

Activity Recognition Challenge

We launched the OPPORTUNITY Activity Recognition Challenge, at the Workshop on robust machine learning techniques for human activity recognition organized at the System, Man and Cybernetics 2011 conference.
Check the links for more details!

Excellent feedback from the commission for PY2!

2nd review meeting

OPPORTUNITY is now a little bit more than 2 years old. We hosted the second review meeting our partner's location in Linz on the 14th of April 2011. Excellent contribution from all partners and we obtained very valuable feedback.
We all look forward to work together this 3rd year!

Contact

Do not hesitate to contact the consortium.

About

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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