Activity Prediction Based on Tme Series Forcasting
Mohamed Tarik Moutacalli, Kévin Bouchard, Abdenour Bouzouane, Bruno Bouchard · National Conference on Artificial Intelligence · 2014
Activity recognition is a crucial step in automaticassistance for elderly and disabled people, such asAlzheimer’s patients. The large number of activities ofdaily living (ADLs) that these persons are used to per-forming as well as their inability, sometimes, to start anactivity make the recognition process difficult, if not im-possible. To adress such problems, we propose a time-based activity prediction approch as a preliminary stepto activity recognition. Not only it will facilitate therecognition, but it will also rank activities according totheir occurrence probabilities at every time interval. Inthis paper, after detecting activities models, we imple-ment and validate an activity prediction process using atime series framework.