发表机构
Iowa State University; Microsoft（爱荷华州立大学; 微软）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
HandAnthro从单张手掌照片自动估计44个手部尺寸，结合YOLO姿态模型与几何轮廓细化关键点，在受控实验中达到3.80毫米平均误差，并验证了现场可行性。
AI 中文摘要
手部人体测量为防护手套设计提供支持，但现有的测量方法通常需要训练有素的操作员、专用硬件或手动标记关键点。我们提出了HandAnthro，它可以从一张手掌朝上、置于美国信纸尺寸纸张上的智能手机照片中估计44个投影手部尺寸。该流程重建被手腕遮挡的纸张边界以进行校正，将非手部像素变白，并利用图像特定的几何形状和轮廓，从微调后的You Only Look Once（YOLO）姿态模型中细化41个特定于人体测量的关键点。受控评估包括来自45名留出参与者的720次拍摄，每名参与者贡献16张图像，涵盖两部智能手机、两种背景、两个角度和两种标称光照设置。HandAnthro对704次拍摄（97.8%）生成了完整输出；其中，与两名训练有素的操作员的卡尺测量相比，每个维度的平均绝对误差（MAE）为3.80毫米。区域MAE分别为：非拇指手指2.48毫米、拇指6.04毫米、手掌和手腕6.17毫米。在研究者辅助的移动应用试点中，自动批量处理为268张经研究者筛选的消防员图像中的260张（97.0%）返回了全部44个尺寸。与一个独立的全国消防员参考值进行的描述性非配对比较显示，在28个性别×维度组均值对比中，平均绝对差异为2.40毫米。这些结果表征了受控测量性能和研究者辅助的现场可行性，为未来分布式手部人体测量研究提供了依据。
英文摘要
Hand anthropometry supports protective-glove design, but existing measurement methods often require trained operators, specialized hardware, or manual landmarking. We present HandAnthro, which estimates 44 projected hand dimensions from a smartphone photograph of a palm-up hand on US letter-size paper. The pipeline reconstructs wrist-occluded paper boundaries for rectification, whitens non-hand pixels, and refines 41 anthropometry-specific landmarks from a fine-tuned You Only Look Once (YOLO) pose model using image-specific geometry and contours. Controlled evaluation comprised 720 captures from 45 held-out participants, each contributing 16 images across two smartphones, two backgrounds, two angles, and two nominal illumination settings. HandAnthro produced complete outputs for 704 captures (97.8%); among these, mean absolute error (MAE) was 3.80 mm per dimension against two trained operators' caliper measurements. Regional MAEs were 2.48 mm for non-thumb fingers, 6.04 mm for thumbs, and 6.17 mm for palm and wrist. In a researcher-assisted mobile-app pilot, automated batch processing returned all 44 dimensions for 260 of 268 retained, researcher-screened firefighter images (97.0%). A descriptive, unpaired comparison with an independent national firefighter reference yielded a mean absolute difference of 2.40 mm across 28 sex-by-dimension group-mean contrasts. These results characterize controlled measurement performance and researcher-assisted field feasibility for future distributed hand-anthropometry studies.
Comments21 pages, including 7 pages of main text and references and 14 pages of supplementary material
