The Research And Application On Data Fusion Based On Wearable Computing Technology

With the rapid development of wearable computing technology,it is more and more used in health,sports,medical,entertainment and other fields.Wearable devices will become indispensable tools in our future life.Most of the research on wearable devices are still in the basic stage now,some product is too expensive and is not for the user's rigid demand,so the research on wearable computing technology becomes more and more important.Since a single sensor data has certain limitations,the wearable system usually uses multiple sensors to obtain more complete and reliable information.It can increase the anti-interference ability of the system,and strengthen the system credibility.This paper will study the data fusion technology based on wearable computing and its application.The main research work in this paper includes the following:(1)This paper presents a data fusion model for wearable computing based on the research on the data fusion hierarchy.Then analyze the principle and algorithm of data level,feature level and decision level data fusion.This paper combines the support vector machine and the improved DS evidence theory to do feature level and decision level data fusion,that can effectively improve the accuracy of the system identification.(2)This paper established a fatigue driving detection model for wearable computing based on the research of fatigue detection methods and wearable computing technology.Combined the EEG detection method and head movements detection method,and played the sensors on a hair band in order to be more flexible and comfortable than the traditional headset acquisition device.(3)In view of the current traffic accidents caused by fatigue driving,wearable this paper designs a head-mounted wearable data acquisition equipment to collect EEG signals and head movement data.And implements a fatigue detection and alarming application running on the mobile phone,which can monitor the EEG signals and the head movement data in real time.If the fatigue state is detected,the system will play a piece of music.This paper has a very good practical value for the prevention of traffic accidents,and also reflects the value of wearable computing technology in daily life.