Recognition of Activities of Daily Living with Egocentric Vision: A Review
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 limite...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/16/1/72 |
| _version_ | 1811299852307398656 |
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| author | Thi-Hoa-Cuc Nguyen Jean-Christophe Nebel Francisco Florez-Revuelta |
| author_facet | Thi-Hoa-Cuc Nguyen Jean-Christophe Nebel Francisco Florez-Revuelta |
| author_sort | Thi-Hoa-Cuc Nguyen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T06:42:49Z |
| format | Article |
| id | doaj.art-4fe88710910b4cceb41c8bcc8f1c4619 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T06:42:49Z |
| publishDate | 2016-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4fe88710910b4cceb41c8bcc8f1c46192022-12-22T02:57:41ZengMDPI AGSensors1424-82202016-01-011617210.3390/s16010072s16010072Recognition of Activities of Daily Living with Egocentric Vision: A ReviewThi-Hoa-Cuc Nguyen0Jean-Christophe Nebel1Francisco Florez-Revuelta2Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, London KT1 2EE, UKFaculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, London KT1 2EE, UKFaculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, London KT1 2EE, UKVideo-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.http://www.mdpi.com/1424-8220/16/1/72egocentric visionwearable camerasambient assisted livingactivity recognition |
| spellingShingle | Thi-Hoa-Cuc Nguyen Jean-Christophe Nebel Francisco Florez-Revuelta Recognition of Activities of Daily Living with Egocentric Vision: A Review Sensors egocentric vision wearable cameras ambient assisted living activity recognition |
| title | Recognition of Activities of Daily Living with Egocentric Vision: A Review |
| title_full | Recognition of Activities of Daily Living with Egocentric Vision: A Review |
| title_fullStr | Recognition of Activities of Daily Living with Egocentric Vision: A Review |
| title_full_unstemmed | Recognition of Activities of Daily Living with Egocentric Vision: A Review |
| title_short | Recognition of Activities of Daily Living with Egocentric Vision: A Review |
| title_sort | recognition of activities of daily living with egocentric vision a review |
| topic | egocentric vision wearable cameras ambient assisted living activity recognition |
| url | http://www.mdpi.com/1424-8220/16/1/72 |
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