Fontana Juan M, Farooq Muhammad, Sazonov Edward
IEEE Trans Biomed Eng. 2014 Jun;61(6):1772-9. doi: 10.1109/TBME.2014.2306773.
Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (automatic ingestion monitor, AIM) is presented for objective monitoring of ingestive behavior in free living. The proposed device integrates three sensor modalities that wirelessly interface to a smartphone: a jaw motion sensor, a hand gesture sensor, and an accelerometer. A novel sensor fusion and pattern recognition method was developed for subject-independent food intake recognition. The device and the methodology were validated with data collected from 12 subjects wearing AIM during the course of 24 h in which both the daily activities and the food intake of the subjects were not restricted in any way. Results showed that the system was able to detect food intake with an average accuracy of 89.8%, which suggests that AIM can potentially be used as an instrument to monitor ingestive behavior in free-living individuals.
在自由生活环境中对食物摄入量和摄食行为进行客观监测仍然是一个悬而未决的问题，这在肥胖症和饮食失调的研究与治疗中具有重大意义。本文提出了一种新型可穿戴传感器系统（自动摄食监测器，AIM），用于在自由生活中对摄食行为进行客观监测。该设备集成了三种与智能手机无线连接的传感器模式：下颌运动传感器、手势传感器和加速度计。开发了一种新颖的传感器融合和模式识别方法，用于独立于个体的食物摄入量识别。使用从12名佩戴AIM的受试者在24小时内收集的数据对该设备和方法进行了验证，在此期间，受试者的日常活动和食物摄入量均未受到任何限制。结果表明，该系统能够以89.8%的平均准确率检测食物摄入量，这表明AIM有可能用作监测自由生活个体摄食行为的工具。
