Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications
icon Camera miniaturization and mobile computing now make it feasible to capture and process videos from body-worn cameras such as the Google Glass headset. This egocentric perspective is particularly well-suited to recognizing objects being handled or observed by the wearer, as well as analysing the gestures and tracking the activities of the wearer. Egovision4Health is a joint research project between the University of Zaragoza, Spain and the University of California, Irvine, USA The objective of this three-year project, currently in its first year, is to investigate new egocentric computer vision techniques to automatically provide health professionals with an assessment of their patients' ability to manipulate objects and perform daily activities.

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Text Reference

GrĂ©gory Rogez, Deva Ramanan, and J.M.M. Montiel. Egovision4health - assessing activities of daily living from a wearable rgb-d camera for in-home health care applications. ERCIM News, 2013(95):18–19, 2013.

BibTeX Reference

@article{
    RogezRM13,
    author = "Rogez, Gr{\'e}gory and Ramanan, Deva and Montiel, J.M.M.",
    title = "Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications",
    url = "http://ercim-news.ercim.eu/en95",
    journal = "ERCIM News",
    number = "95",
    volume = "2013",
    year = "2013",
    pages = "18-19"
}