使用可穿戴传感器监测食物摄入量的最新趋势
Recent Trends in Food Intake Monitoring using Wearable Sensors
摘要：
肥胖和超重增加了一些主要危及生命的疾病的风险。据世卫组织称，相当多的人口患有这些疾病，而营养不良在这方面起着重要作用。传统的食物活动监测系统，如食物日记，允许人工记录一段时间内的饮食活动，并进行营养分析。然而，这些系统容易出现手工记录保存和有偏见的报告的问题。因此，近十年来，研究界一直致力于设计由一个或多个可穿戴传感器组成的自动食品监测系统。这些系统旨在提供不同的宏观和微观活动检测，如咀嚼、吞咽、进食事件和食物类型，以及估计食物质量和进食持续时间。研究人员在设计这些系统时强调高检测准确性、低估计误差、非侵入性、低成本和现实生活中的实施，但尚未开发出全面的自动食品监测系统。此外，据我们所知，在这一领域还没有全面的调查来描述自动食物监测范式，涵盖少数研究，使用各种参数分析这些研究对食物摄入量监测任务的影响，列出局限性并确定未来的方向。在这项研究工作中，我们描绘了自动食物摄入量监测范式，并提出了一个调查的研究。特别关注可穿戴传感器的研究，我们分析了这些研究对食物活动监测任务。我们提供了这些研究的简要比较以及根据这些研究进行的实验结果的缺点。最后，我们提出了未来的发展方向，以方便研究人员在这一领域的工作。
英文摘要：
Obesity and being over-weight add to the risk of some major life threatening diseases. According to W.H.O., a considerable population suffers from these disease whereas poor nutrition plays an important role in this context. Traditional food activity monitoring systems like Food Diaries allow manual record keeping of eating activities over time, and conduct nutrition analysis. However, these systems are prone to the problems of manual record keeping and biased-reporting. Therefore, recently, the research community has focused on designing automatic food monitoring systems since the last decade which consist of one or multiple wearable sensors. These systems aim at providing different macro and micro activity detections like chewing, swallowing, eating episodes, and food types as well as estimations like food mass and eating duration. Researchers have emphasized on high detection accuracy, low estimation errors, un-intrusive nature, low cost and real life implementation while designing these systems, however a comprehensive automatic food monitoring system has yet not been developed. Moreover, according to the best of our knowledge, there is no comprehensive survey in this field that delineates the automatic food monitoring paradigm, covers a handful number of research studies, analyses these studies against food intake monitoring tasks using various parameters, enlists the limitations and sets up future directions. In this research work, we delineate the automatic food intake monitoring paradigm and present a survey of research studies. With special focus on studies with wearable sensors, we analyze these studies against food activity monitoring tasks. We provide brief comparison of these studies along with shortcomings based upon experimentation results conducted under these studies. We setup future directions at the end to facilitate the researchers working in this domain.
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