Mingui Sun
Biographic Data
| ID | 7556515 |
|---|---|
| NAME | Mingui Sun |
| GIVEN NAMES | Mingui |
| FAMILY NAME | Sun |
| SIGNATURE | SUN M |
| AFFILIATIONS | University of Pittsburgh |
| ORCID | 0000-0001-7948-9205 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Feasibility of the automatic ingestion monitor (AIM-2) for infant feeding assessment
Objective: Passive, wearable sensors can be used to obtain objective information in infant feeding, but their use has not been tested. Our objective was to compare assessment of infant feeding (frequency, duration and cues) by self-report and that of the Automatic Ingestion Monitor-2 (AIM-2). Design: A cross-sectional pilot study was conducted in Ghana. Mothers wore the AIM-2 on eyeglasses for 1 d during waking hours to assess infant feeding usin…
An automatic electronic instrument for accurate measurements of food volume and density
Objective: Accurate measurements of food volume and density are often required as ‘gold standards’ for calibration of image-based dietary assessment and food database development. Currently, there is no specialised laboratory instrument for these measurements. We present the design of a new volume of density (VD) meter to bridge this technological gap. Design: Our design consists of a turntable, a load sensor, a set of cameras and lights installe…
Image-based food portion size estimation using a smartphone without a fiducial marker
Objective Current approaches to food volume estimation require the person to carry a fiducial marker (e.g. a checkerboard card), to be placed next to the food before taking a picture. This procedure is inconvenient and post-processing of the food picture is time-consuming and sometimes inaccurate. These problems keep people from using the smartphone for self-administered dietary assessment. The current bioengineering study presents a novel smartp…
Automatic food detection in egocentric images using artificial intelligence technology
Objective To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment. Design To study human diet and lifestyle, large sets of egocentric images were acquired using a wearable device, called eButton, from free-living individuals. Three thousand nine hundred images containing real-world activities, which formed eButton data set 1, …
No prominent works on this page.
Image-based food portion size estimation using a smartphone without a fiducial marker
Objective Current approaches to food volume estimation require the person to carry a fiducial marker (e.g. a checkerboard card), to be placed next to the food before taking a picture. This procedure is inconvenient and post-processing of the food picture is time-consuming and sometimes inaccurate. These problems keep people from using the smartphone for self-administered dietary assessment. The current bioengineering study presents a novel smartp…
Automatic food detection in egocentric images using artificial intelligence technology
Objective To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment. Design To study human diet and lifestyle, large sets of egocentric images were acquired using a wearable device, called eButton, from free-living individuals. Three thousand nine hundred images containing real-world activities, which formed eButton data set 1, …
An automatic electronic instrument for accurate measurements of food volume and density
Objective: Accurate measurements of food volume and density are often required as ‘gold standards’ for calibration of image-based dietary assessment and food database development. Currently, there is no specialised laboratory instrument for these measurements. We present the design of a new volume of density (VD) meter to bridge this technological gap. Design: Our design consists of a turntable, a load sensor, a set of cameras and lights installe…
Feasibility of the automatic ingestion monitor (AIM-2) for infant feeding assessment
Objective: Passive, wearable sensors can be used to obtain objective information in infant feeding, but their use has not been tested. Our objective was to compare assessment of infant feeding (frequency, duration and cues) by self-report and that of the Automatic Ingestion Monitor-2 (AIM-2). Design: A cross-sectional pilot study was conducted in Ghana. Mothers wore the AIM-2 on eyeglasses for 1 d during waking hours to assess infant feeding usin…
Artificial Intelligence (3 works) · Computer Science (3 works) · Computer vision (3 works) · Nutritional Studies and Diet (3 works) · Set (abstract data type (2 works) · Volume (thermodynamics (2 works) · Advanced Image and Video Retrieval Techniques (1 work) · Body Composition Measurement Techniques (1 work) · Breast feeding (1 work) · Breastfeeding (1 work)