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Yaofeng Yue
Researcher at University of Pittsburgh
Publications - 13
Citations - 421
Yaofeng Yue is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Wearable computer & Image processing. The author has an hindex of 10, co-authored 13 publications receiving 365 citations. Previous affiliations of Yaofeng Yue include National Cheng Kung University.
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Journal ArticleDOI
Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera
Wenyan Jia,Hsin-Chen Chen,Yaofeng Yue,Zhaoxin Li,John D. Fernstrom,Yicheng Bai,Chengliu Li,Mingui Sun +7 more
TL;DR: From the same eButton pictures, the computer-based method provides more objective and accurate estimates of food volume than the visual estimation method.
Journal ArticleDOI
Imaged based estimation of food volume using circular referents in dietary assessment.
Wenyan Jia,Yaofeng Yue,John D. Fernstrom,Ning Yao,Robert J. Sclabassi,Madelyn H. Fernstrom,Mingui Sun +6 more
TL;DR: Two novel approaches are investigated to provide the missing information, enabling food volume estimation from a single image, based on an elliptical reference pattern, such as the image of a circular pattern or a projected elliptical spotlight.
Journal ArticleDOI
An Exploratory Study on a Chest-Worn Computer for Evaluation of Diet, Physical Activity and Lifestyle
Mingui Sun,Lora E. Burke,Tom Baranowski,John D. Fernstrom,Hong Zhang,Hsin-Chen Chen,Yicheng Bai,Yuecheng Li,Chengliu Li,Yaofeng Yue,Zhen Li,Jie Nie,Robert J. Sclabassi,Zhi-Hong Mao,Wenyan Jia +14 more
TL;DR: The development of eButton is presented, a wearable computer designed as a personalized, attractive, and convenient chest pin in a circular shape that contains a powerful microprocessor, numerous electronic sensors, and wireless communication links.
Journal ArticleDOI
Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration.
TL;DR: Experimental results using various realistically shaped foods with known volumes demonstrated satisfactory performance of the image based food volume measurement method even if the 3D geometric surface of the food is not completely represented in the input image.
Journal ArticleDOI
An Adaptive Hidden Markov Model for Activity Recognition Based on a Wearable Multi-Sensor Device
Zhen Li,Zhiqiang Wei,Yaofeng Yue,Hao Wang,Wenyan Jia,Lora E. Burke,Tom Baranowski,Mingui Sun +7 more
TL;DR: A novel technique for automatic activity recognition based on multi-sensor data is presented and an offline adaptive-Hidden Markov Model (HMM) is proposed based on an improved Viterbi algorithm.