A new method for measuring meal intake in humans via automated wrist motion tracking.

A new method for measuring meal intake in humans via automated wrist motion tracking.
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DOI:
10.1007/s10484-012-9194-1
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发表时间:
2012-09
影响因子:
3
通讯作者:
Muth, Eric
Muth, Eric
中科院分区:
心理学3区
文献类型:
--
作者:
Dong, Yujie;Hoover, Adam;Scisco, Jenna;Muth, Eric

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测量一个人在日常生活中的能量摄入(千卡)是困难的。最好的实验室工具平均达到95%的准确度,而日常生活中使用的工具通常达到60- 80%的准确度。本文介绍了一种通过自动跟踪手腕运动来测量摄入量的新方法。我们的方法使用一个带有微机电陀螺仪的手表式设备来检测和记录个人何时吃了一口食物。对我们的设备在计数叮咬方面的准确性进行的两次测试发现,我们的方法在受控的用餐环境中具有94%的灵敏度,在不受控的用餐环境中具有86%的灵敏度,在两种环境中每5次叮咬都有一次假阳性。来自日常生活的初步数据表明,由该设备测量的叮咬与热量摄入呈正相关,这说明了该设备监测能量摄入的潜力。未来的研究应该寻求进一步探索咬一口和消耗千卡之间的关系,以验证该设备作为能量摄入的自动测量。
Measuring the energy intake (kcal) of a person in day-to-day life is difficult. The best laboratory tool achieves 95 % accuracy on average, while tools used in daily living typically achieve 60–80 % accuracy. This paper describes a new method for measuring intake via automated tracking of wrist motion. Our method uses a watch-like device with a micro-electro-mechanical gyroscope to detect and record when an individual has taken a bite of food. Two tests of the accuracy of our device in counting bites found that our method has 94 % sensitivity in a controlled meal setting and 86 % sensitivity in an uncontrolled meal setting, with one false positive per every 5 bites in both settings. Preliminary data from daily living indicates that bites measured by the device are positively related to caloric intake illustrating the potential of the device to monitor energy intake. Future research should seek to further explore the relationship between bites taken and kilocalories consumed to validate the device as an automated measure of energy intake.
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