基于视觉的方法来监测食物和液体摄入量:一篇文献评论
Xin Chen1, Ernest N Kamavuako1,2
1Department of Engineering, King's College London, London WC2R 2LS, UK.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
监测食物和液体摄入量对于健康至关重要. 本综述考察了基于视觉的摄入监测方法,强调了它们在识别摄入行动和估计量方面的潜力和挑战.
科学领域:
- 生物医学工程 生物医学工程
- 计算机视觉 计算机视觉
- 营养科学 营养科学
背景情况:
- 精确监测食物和液体摄入量对于预防脱水,营养不良和肥胖至关重要.
- 目前的研究主要集中在饮食监测上,往往忽视了液体摄入量.
- 基于视觉的方法提供了一种非侵入性的方法来监测食物和液体消耗.
研究的目的:
- 综合审查现有关于基于视觉的食物和液体摄入量监测的文献.
- 评估这一领域的研究范围,并确定该领域的研究缺口.
- 分析设备选择,算法和实验设置中的模式.
主要方法:
- 对253篇关于基于视觉的摄入监测文章的系统文献综述.
- 对设备类型,视角和监控任务的数据分析.
- 对算法,实验设置和报告的性能指标的评估.
主要成果:
- 基于视觉的方法在食品/饮料识别,动作检测和体积估计方面表现有前途.
- 仍然存在重大挑战,包括封闭,隐私问题和计算效率.
- 该审查确定了传感器技术,算法和性能评估方面的趋势.
结论:
- 基于视觉的摄入监测是一个快速发展的领域,具有巨大的潜力.
- 应对当前的挑战是提高这些系统的实用性和广泛采用的关键.
- 需要进一步的研究来克服局限性,并提高基于视觉的监控解决方案的准确性和稳定性.
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