Towards a Fully Automatic Food Intake Recognition System Using Acoustic, Image Capturing and Glucose Measurements

Towards a Fully Automatic Food Intake Recognition System Using Acoustic, Image Capturing and Glucose Measurements
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DOI:
10.1109/bsn.2019.8771070
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发表时间:
2019-05
期刊:
2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
影响因子:
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通讯作者:
B. Rosa;Salzitsa Anastasova-Ivanova;Benny P. L. Lo;Guang-Zhong Yang
B. Rosa;Salzitsa Anastasova-Ivanova;Benny P. L. Lo;Guang-Zhong Yang
中科院分区:
其他
文献类型:
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作者:
B. Rosa;Salzitsa Anastasova-Ivanova;Benny P. L. Lo;Guang-Zhong Yang

文献摘要

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食物摄入是发达国家的一个主要医疗保健问题,已成为社会各阶层的经济和社会负担。不良的饮食习惯会增加儿童、青少年和成年人患肥胖症的风险,而后者更容易患上糖尿病等健康疾病,从而缩短预期寿命。环境、文化和行为因素被认为是改变能量摄入和支出之间平衡的原因,导致体重过重。解决食物摄入问题的方法有很多,包括自我报告的食物调查问卷、记录口腔中声音、压力或运动的穿戴式传感器,以及识别所摄入的不同类型食物的胃肠道或基于图像的方法。在本文中,我们提出了一种耳戴式设备,通过记录咀嚼运动产生的声学信号以及电流分析法的葡萄糖水平来跟踪食物摄入习惯。结合未来版本设备上的小型摄像头,我们希望提供一个完整的系统来控制饮食习惯,在饱足期间估计卡路里摄入量和饱腹期间的热量摄入不足,从而适应每个用户的生理机能。
Food intake is a major healthcare issue in developed countries that has become an economic and social burden across all sectors of society. Bad food intake habits lead to increased risk for development of obesity in children, young people and adults, with the latter more prone to suffer from health diseases such as diabetes, shortening the life expectancy. Environmental, cultural and behavioural factors have been appointed to be responsible for altering the balance between energy intake and expenditure, resulting in excess body weight. Methods to counteract the food intake problem are vast and include self-reported food questionnaires, body-worn sensors that record the sound, pressure or movements in the mouth and GI tract or image-based approaches that recognize the different types of food being ingested. In this paper we present an ear-worn device to track food intake habits by recording the acoustic signal produced by the chewing movements as well as the glucose level amperiometrically. Combined with a small camera on a future version of the device, we hope to deliver a complete system to control dietary habits with caloric intake estimation during satiation and deficit during satiety periods, which can be adapted to the physiology of each user.