Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/34251
Title: | Lifelog retrieval from daily digital data: narrative review |
Author: | Ribeiro, Ricardo Trifan, Alina Neves, António J. R. |
Keywords: | Computer vision Event segmentation Image retrieval Information retrieval Lifelog Lifelogging Mobile phone Signal processing |
Issue Date: | 2-May-2022 |
Publisher: | JMIR Publications Inc. |
Abstract: | Over the past decade, the wide availability and small size of different types of sensors, together with the decrease in pricing, have allowed the acquisition of a substantial amount of data about a person's life in real time. These sensors can be incorporated into personal electronic devices available at a reasonable cost, such as smartphones and small wearable devices. They allow the acquisition of images, audio, location, physical activity, and physiological signals among other data. With these data, usually denoted as lifelog data, we can then analyze and understand personal experiences and behaviors. This process is called lifelogging. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/34251 |
DOI: | 10.2196/30517 |
Appears in Collections: | IEETA - Artigos |
Files in This Item:
File | Description | Size | Format | |
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JMIR 2022 - Ricardo.pdf | 469.26 kB | Adobe PDF | View/Open |
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