Chewing Monitoring With Bone-Conduction Microphone for Body Area Network

Chewing Monitoring With Bone-Conduction Microphone for Body Area Network
复制标题

使用体域网骨导麦克风进行咀嚼监测

DOI:
10.1109/access.2019.2918988
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Jianwu Dang
Jianwu Dang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Yuxuan Li;Wenhuan Lu;Yuqing He;Jianwu Dang

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论文描述的研究开发了一种获取、处理和分析与饮食相关的口腔运动和伴随的身体运动的系统,从而实现饮食活动监测。它包含传感器节点、移动客户端和服务器三部分。所提到的声音被定义为咀嚼、说话、咳嗽和沉默,而身体运动状态被分类为不动或微动、行走和跑步。该系统是一种可穿戴设备,通过记录和检测口腔过程中产生的声音来监测口腔声音活动。它还包括一个加速度计,可以同时记录人体情况。采用骨导麦克风采集口音,避免噪音影响。硬件系统基于特殊架构开发,兼顾计算成本、设备尺寸、功耗和网络传输负载之间的平衡。该研究提出了一种获取MFCC系数的新方法。按照顺序分配在传感器和服务器中,保护隐私信息并保证数据采集和计算的并行性。构建与饮食活动相关的口音骨导音数据库作为系统的训练数据。客户端软件通过统计的方法来分析由此得出的口腔和身体动作,从而得出用户的饮食规律。通过实验确定了系统的最佳配置参数。识别率高达90%以上。根据现代医学对饮食健康的研究,设计开发了相应的系统,对个人的饮食规律进行量化评估,并将相应信息可视化,为用户提供合理指导。
The research described in the paper has developed a system for acquiring, processing, and analyzing the diet-related oral motors and the accompanying body movements, therefore realizes dietary activities monitor. It contains three parts, such as sensor node, mobile client, and server. The mentioned sound is defined as chewing, talking, coughing and silence, while the body movement states are classified as immobile or micro-move, walking, and running. The system is a wearable device that monitors the oral sound activities by recording of and the detection generated during the oral. It also includes an accelerometer to simultaneous records of human body. Bone-conduction microphone is adopted to collect the oral sounds for avoiding noise effects. Hardware system is developed based on special architecture, with respect to the balance between the computing cost, device size, power dissipation and network transmission load. The research proposes a new method to get MFCC coefficients. According to the order, it is assigned in the sensor and server to protect the private information and guarantee parallelism of the data collection and calculation. The oral sound bone-conduction sound database related diet activity is constructed as the training data for the system. Client software uses statistical methods to analyze the oral and body movements derived from it, therefore obtains the user’s dietary laws. Through experiments, the optimal configuration parameters of the system are determined. The recognition rate is up to more than 90%. According to the modern medical researches on diet health, a corresponding system is designed and developed to give a quantitative assessment to the personal dietary laws, and visualize the corresponding information to provide users reasonable guidances.
DOI: 10.1109/iscit.2005.1567076
发表时间: 2005-10
期刊: IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005.
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