Recognition of Activities of Daily Living with Egocentric Vision: A Review.

Nguyen, Thi-Hoa-Cuc, Nebel, Jean-Christophe and Florez-Revuelta, Francisco (2016) Recognition of Activities of Daily Living with Egocentric Vision: A Review. Sensors (Basel, Switzerland), 16(72), ISSN (online) 1424-8220

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Abstract

Video-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.

Item Type: Article
Uncontrolled Keywords: egocentric vision; wearable cameras; ambient assisted living; activity recognition
Research Area: Allied health professions and studies
Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computing and Information Systems
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Depositing User: Automatic Import Agent
Date Deposited: 19 Jan 2016 10:35
Last Modified: 19 Jan 2016 10:36
URI: http://eprints.kingston.ac.uk/id/eprint/33952

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