Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences, Robotics and automatic control
Abstract
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.
DOI
https://doi.org/10.1007/978-3-319-61578-3_47
Recommended Citation
Rogers, E., Ross, R.J., & Kelleher, J.D. (2017). Tackling the interleaving problem in activity discovery. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. doi:10.1007/978-3-319-61578-3_47
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
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.