? Obesity is associated with a large variety of genetic and environmental factors. In order to understand the etiology of this condition and develop effective weight management programs, accurate acquisition of diet and physical activity data in free-living environment is essential. Currently, self-reporting is the primary method for data acquisition, but does not accurately reflect the true habitual behavior of individuals in real life. As a result, the lack of assessment tools to produce unbiased, objective data has significantly hampered the progress of obesity research. We propose a novel application of multimedia technology to study obesity. It will be based on electronic chronicle (or e-chronicle), a powerful multimedia data management technology which provides an easily accessible electronic memory of individual's experience and daily events. Specifically, we will develop a unified sensor device which is cosmetically pleasant and can be easily worn by patients. This device will consist of a set of physiological sensors and a miniature video camera. The data recorded will be uploaded to a powerful computer where extensive multimedia processing will be performed to remove human appearances in the video and organize information using the e-chronicle technology. Diet and activity related events will be automatically extracted, indexed, and organized into an easily accessible form, providing a new platform technology to study lifestyle, behavior, and environment that promises new understanding and effective treatment option to manage obesity. ? ? We propose a novel application of multimedia technology based on electronic chronicle to study obesity. We will develop a unified sensor device consisting of a set of physiological sensors and a miniature video camera to acquire field data. Diet and activity related events will be automatically extracted, indexed, and organized, providing a new platform technology to study lifestyle, behavior, and environment that promises new understanding and effective treatment option to manage obesity. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HL091736-02
Application #
7489820
Study Section
Special Emphasis Panel (ZCA1-SRRB-U (M1))
Program Officer
Loria, Catherine
Project Start
2007-08-15
Project End
2011-05-31
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
2
Fiscal Year
2008
Total Cost
$616,202
Indirect Cost
Name
University of Pittsburgh
Department
Neurosurgery
Type
Schools of Medicine
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Sun, Mingui; Burke, Lora E; Baranowski, Thomas et al. (2015) An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. J Healthc Eng 6:1-22
Sun, Mingui; Burke, Lora E; Mao, Zhi-Hong et al. (2014) eButton: A Wearable Computer for Health Monitoring and Personal Assistance. Proc Des Autom Conf 2014:1-6
Jia, Wenyan; Chen, Hsin-Chen; Yue, Yaofeng et al. (2014) Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera. Public Health Nutr 17:1671-81
Bai, Yicheng; Jia, Wenyan; Zhang, Hong et al. (2013) Helping the blind to find the floor of destination in multistory buildings using a barometer. Conf Proc IEEE Eng Med Biol Soc 2013:4738-41
Li, Chengliu; Bai, Yicheng; Jia, Wenyan et al. (2013) Eating Event Detection by Magnetic Proximity Sensing. Proc IEEE Annu Northeast Bioeng Conf 2013:15-16
Sun, Xin; Yao, Hongxun; Jia, Wenyan et al. (2013) Eating Activity Detection from Images Acquired by a Wearable Camera. SenseCam 2013 2013:80-81
Chen, Hsin-Chen; Jia, Wenyan; Yue, Yaofeng et al. (2013) Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration. Meas Sci Technol 24:
Li, Jie; Shi, Wenxuan; Deng, Dexiang et al. (2013) Dense Stereo Matching Method Based on Local Affine Model. J Comput (Taipei) 8:1696-1703
Zhang, Hong; Li, Yuecheng; Chen, Hao et al. (2013) Perceptual Contrast Enhancement with Dynamic Range Adjustment. Optik (Stuttg) 124:
Li, Zhaoxin; Jia, Wenyan; Mao, Zhi-Hong et al. (2013) Anthropometric body measurements based on multi-view stereo image reconstruction. Conf Proc IEEE Eng Med Biol Soc 2013:366-9

Showing the most recent 10 out of 24 publications