Document Type

Conference Paper


This item is available under a Creative Commons License for non-commercial use only


Computer Sciences, Robotics and automatic control

Publication Details

Presented at the doctoral consortium of the 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal, June 2017.


Activity discovery (AD) is the unsupervised process of discovering activities in data produced from streaming sensor networks that are recording the actions of human subjects. One major challenge for AD systems is interleaving, the tendency for people to carry out multiple activities at a time a parallel. Following on from our previous work, we continue to investigate AD in interleaved datasets, with a view towards progressing the state-of-the-art for AD.