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Eating habits monitoring using wireless wearable in-ear microphone

机译:使用无线穿戴内耳麦克风进行饮食习惯

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To realize ubiquitous eating habits monitoring, we proposed the use of chewing sound sensed by an in-ear placed wireless wearable microphone. A prototype of wireless wearable in-ear microphone was developed by utilizing a common Bluetooth headset. We proposed robust chewing number counting algorithm which consists of two recognition stages: "chew-like" signal detection and chewing verification stage. As a result, average chewing number counting error rate of 1.93% was achieved. Lastly, chewing sound mapping was proposed to provide an additional intuitive feedback for users to be able to infer the eating habits in their daily life context.
机译:为了实现无处不在的饮食习惯监测,我们建议使用由耳内放置无线可佩戴麦克风感测的咀嚼声音。通过利用共同的蓝牙耳机开发了无线可穿戴内耳麦克风的原型。我们提出了强大的咀嚼数字计数算法,由两个识别阶段组成:“咀嚼物”信号检测和咀嚼验证阶段。结果,实现了平均咀嚼数计数误差率为1.93%。最后,提出了咀嚼声映射,为用户提供了额外的直观反馈,以便能够在日常生活环境中推断出饮食习惯。

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