Recognition of Activities of Daily Living with Egocentric Vision: A Review
AbstractVideo-based recognition of activities of daily living (ADLs) is being used in ambient assisted living systems in order to support the independent living of older people. However, current systems based on cameras located in the environment present a number of problems, such as occlusions and a limited field of view. Recently, wearable cameras have begun to be exploited. This paper presents a review of the state of the art of egocentric vision systems for the recognition of ADLs following a hierarchical structure: motion, action and activity levels, where each level provides higher semantic information and involves a longer time frame. The current egocentric vision literature suggests that ADLs recognition is mainly driven by the objects present in the scene, especially those associated with specific tasks. However, although object-based approaches have proven popular, object recognition remains a challenge due to the intra-class variations found in unconstrained scenarios. As a consequence, the performance of current systems is far from satisfactory. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Nguyen, T.-H.-C.; Nebel, J.-C.; Florez-Revuelta, F. Recognition of Activities of Daily Living with Egocentric Vision: A Review. Sensors 2016, 16, 72.
Nguyen T-H-C, Nebel J-C, Florez-Revuelta F. Recognition of Activities of Daily Living with Egocentric Vision: A Review. Sensors. 2016; 16(1):72.Chicago/Turabian Style
Nguyen, Thi-Hoa-Cuc; Nebel, Jean-Christophe; Florez-Revuelta, Francisco. 2016. "Recognition of Activities of Daily Living with Egocentric Vision: A Review." Sensors 16, no. 1: 72.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.