Chewing Monitoring with Bone-Conduction Microphone for Body Area Network

Abstract

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.