The automatic and unobtrusive identification of user's activities is one of the challenging goals of AAL. Real-time monitoring of human daily activities (e.g. sleeping, cooking, watching TV, etc.) could be a useful tool for many future AAL applications such as behavioural pattern recognition, detection of diseases or entertainment. Recognition of daily activities can make use of several sources of information including real-time position, usage of electronic appliances and recognition of movements.

The aim of this competition is to award the best system in terms of activity recognition, localization and gesture/posture recognition from the point of view of AAL applications. We will welcome competitors to install their systems at the Smart House Living Lab and integrate their data with the ones provided by our installations for the best accuracy. The final score will be based on the accuracy of the recognized activities, localization and gestures/postures and other AAL-related criteria including user acceptance, integrability and installation complexity.

Track 2 – RF-based Indoor Localization Solutions in Public Spaces
Organized by the EVARILOS project

Localization in urban environments and buildings, where people spend most of their time, is a key component for achieving context-awareness. Due to the poor performance of established outdoor solutions like the GPS service, a number of alternative indoor localization solutions have been recently proposed, many of them leveraging radio frequency (RF).

This track, organized by the EVARILOS consortium (see <http://www.evarilos.eu/open-challenge>), focuses on benchmarking complete localization solutions. The contestants will have opportunity to install additional hardware and software at the iMinds test facility in Ghent, Belgium. Available contexts include an office environment and an enclosed open space. All competing systems have to be either RF-based, or in case of multimodal systems, they have to possess a strong RF-based component. Hybrid systems where other technologies are used such as infrared, ultrasound, RFID, or other are also allowed. The track especially targets industry participation but also welcomes academia.

The performance of the competing localization solutions will be evaluated in several different application categories, like AAL and healthcare, and scores will be published on EVARILOS website. Scores based on an AAL scenario including metrics such as accuracy, installation complexity and user acceptance will be considered for EvAAL ranking.

Track 3 – RF-based Indoor Localization Algorithms
Organized by the EVARILOS project

The track, organized by the EVARILOS consortium (see <http://www.evarilos.eu/open-challenge>), is an online competition for RF-based indoor localization algorithms in which participating teams compete in precise localization under the influence of different RF-interference scenarios. The competing localization algorithms will have to be implemented through remote access on top of the existing hardware resources available at the EVARILOS experimental facilities at TU Berlin and iMinds, described at <http://www.evarilos.eu/testbeds>, including large number of IEEE 802.11g/n access points and IEEE 802.15.4 sensor nodes, deployed in a typical multi-floor office space context. As in Track 2, the competing localization algorithms in Track 3 will be evaluated following the EVARILOS benchmarking methodology, aligned with the upcoming ISO/IEC 18305 standard "Test and evaluation of localization and tracking systems".

This online track will provide contestants with unique opportunity to: test and compare the performance of their RF-based indoor localization algorithms following a standardized evaluation methodology; test the sensitivity of their algorithms to radio interference under controlled conditions; disseminate information about their localization solution as part of the competition workshop, website and the published proceedings and contribute towards the establishment of a public repository of experimental traces from indoor localization solutions.