EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments.
EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments.
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DOI：
10.1145/3130902
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发表时间：
2017-09-01
影响因子：
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通讯作者：
Abowd, Gregory
中科院分区：
文献类型：
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作者：
Bedri, Abdelkareem;Li, Richard;Abowd, Gregory
慢性和广泛的疾病，如肥胖，糖尿病和高胆固醇血症，需要患者监测他们的食物摄入量，食物日记是目前最常见的方法。然而，食物日记容易受到自我偏见和回忆错误的影响，并且患者对它的坚持性很差。在本文中，我们提出了一种替代方案，通过引入EarBit，可穿戴系统，检测进食时刻。我们评估惯性、光学和声学传感方式的性能，并根据其识别和可用性性能重点关注惯性传感。使用在模拟家庭环境中收集的数据，对参与者的行为进行最小限制，我们建立了我们的模型，并通过不受约束的实验室外研究对其进行评估。对于这两项研究，我们获得了视频片段作为参与者活动的基本事实。使用leave-one-user-out验证，EarBit识别了半对照实验室研究中的所有进食事件，并在检测咀嚼事件方面达到了90.1%的准确率和90.9%的F1分数。在不受约束的实验室外评估中，EarBit在检测咀嚼情况方面的准确率为93%，F1得分为80.1%。它还准确地识别了所有记录的进食事件，只有一个例外。这些事件的范围从2分钟的零食到30分钟的用餐。
Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia require patients to monitor their food intake, and food journaling is currently the most common method for doing so. However, food journaling is subject to self-bias and recall errors, and is poorly adhered to by patients. In this paper, we propose an alternative by introducing EarBit, a wearable system that detects eating moments. We evaluate the performance of inertial, optical, and acoustic sensing modalities and focus on inertial sensing, by virtue of its recognition and usability performance. Using data collected in a simulated home setting with minimum restrictions on participants' behavior, we build our models and evaluate them with an unconstrained outside-the-lab study. For both studies, we obtained video footage as ground truth for participants activities. Using leave-one-user-out validation, EarBit recognized all the eating episodes in the semi-controlled lab study, and achieved an accuracy of 90.1% and an F1-score of 90.9% in detecting chewing instances. In the unconstrained, outside-the-lab evaluation, EarBit obtained an accuracy of 93% and an F1-score of 80.1% in detecting chewing instances. It also accurately recognized all but one recorded eating episodes. These episodes ranged from a 2 minute snack to a 30 minute meal.