Understanding food consumption lifecycles using wearable cameras
نویسندگان
چکیده
منابع مشابه
Understanding Human Behaviors from Wearable Cameras
Imagine a family going out for a walk. The mother reasons beyond what she is seeing: she may guess “why her husband suddenly looks at their son”, “what his gesture means”, and “where to move next”. The son riding a bicycle may reason about “how hard I would pedal my way up the slope”. My research goal is identifying such deep reasoning based on my conjecture—a wearable camera can tap into their...
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A recent trend in mobile computing is the increasing use of worn devices for data capture. Wearable lifelogging cameras such as the SenseCam and Narrative Clip reflect this trend, allowing mobile users to continuously capture images for later review. Image streams provided by these mobile devices can be used in a range of applications, but are commonly used as a way of capturing personal memori...
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Recognizing a user’s location is the most challenging problem for providing intelligent location-based services. In this paper, we presented a realtime camera-based system for the place recognition problem. This system takes streams of scene images of a learned environment from user-worn cameras and produces the class label of the current place as an output. Multiple cameras are used to collect...
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BACKGROUND Over the past three decades the global prevalence of childhood overweight and obesity has increased by 47%. Marketing of energy-dense nutrient-poor foods and beverages contributes to this worldwide increase. Previous research on food marketing to children largely uses self-report, reporting by parents, or third-party observation of children's environments, with the focus mostly on si...
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ژورنال
عنوان ژورنال: Personal and Ubiquitous Computing
سال: 2015
ISSN: 1617-4909,1617-4917
DOI: 10.1007/s00779-015-0871-y