| 题名 | Single Image based Infant Body Height and Weight Estimation |
| 作者 | |
| DOI | |
| 发表日期 | 2023
|
| ISSN | 2160-7508
|
| ISBN | 979-8-3503-0250-9
|
| 会议录名称 | |
| 卷号 | 2023-June
|
| 页码 | 6052-6059
|
| 会议日期 | 17-24 June 2023
|
| 会议地点 | Vancouver, BC, Canada
|
| 摘要 | The collection of infant body data such as height and weight is a useful mean of tracking its growth and wellness. The contact-based measurements using height and weight scales are manual and cumbersome, camera-based methods were proposed to obtain features from face or body for height and weight estimation. In this paper, we created a clinical dataset including 200 newborns collected at obstetrics, and benchmarked four convolutions neural networks for infant height estimation, where MobileNet, VGG16, GoogleNet, and AlexNet were chosen. Moreover, we investigated different MobileNet-based variants for infant weight estimation, including linear regression model, one-task model, and multi-task model. Several sets of experiments were carried out on the newborn dataset to validate the effectiveness of the proposed methods. The results show that the Mean Absolute Error (MAE) of different models are quite similar, with an average MAE < 1.1 cm and < 0.28 kg for height and weight estimation, respectively. Among them, the multi-task MobileNet has better temporal stability given its lower variance of measurement in a video. |
| 关键词 | |
| 学校署名 | 第一
|
| 相关链接 | [IEEE记录] |
| 收录类别 | |
| EI入藏号 | 20233714730585
|
| EI分类号 | Mathematical Statistics:922.2
|
| 来源库 | IEEE
|
| 全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10208903 |
| 引用统计 |
被引频次[WOS]：0
|
| 成果类型 | 会议论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/559189 |
| 专题 | 工学院_生物医学工程系 |
| 作者单位 | 1.Department of Biomedical Engineering, Southern University of Science and Technology, China 2.Department of Obstetrics, Baoan Hospital of Traditional Chinese Medicine, Shenzhen, China 3.Department of Neonatal Intensive Care Unit, The Third People’s Hospital, Shenzhen, China |
| 第一作者单位 | 生物医学工程系 |
| 第一作者的第一单位 | 生物医学工程系 |
| 推荐引用方式 GB/T 7714 |
Huaijing Shu,Lirong Ren,Liping Pan,et al. Single Image based Infant Body Height and Weight Estimation[C],2023:6052-6059.
|
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论