Body Motion Sensing Based Personal Positioning Method And System Implementation

Navigation and positioning technology is one of the basic technologies in modern society. Because of its unique high-precision, automated, high-efficiency features, it has a wide range of applications in our daily work, life and leisure. Different from other navigation and positioning technology like transportation navigation and positioning, The application of personal navigation and positioning has brought great challenges to the existing positioning technology with the features of complex and changing environment and multiple motion pattern. Such as public security, fire, emergency rescue and other emergency response personnel who may be in the room, the community full of tall buildings, forests and other complex fields, engaged in relevant work. While these areas are often unable to receive reliable GPS positioning signals, the efficiency would be reduced. The need for a new personal positioning method which makes up the shortcomings of GPS is urgent.A personal positioning method based on body motion sensing is proposed in this paper. The information such as 3-axis acceleration and angular velocity of body movement is detected via embedded sensing devices carried on waist to obtain the corresponding motion pattern and step frequency. On the basis of above information step length is calculated. The positioning of the body can be obtained with the combination of steps, step length and direction. Experimental results demonstrate the effectiveness of the proposed method.According to the actual using requirements of personal positioning, an embedded experimental device for personal positioning is proposed in this paper based on the above mentioned method. This device takes ARM9 as a microprocessor, including the external sensor device module. GPS positioning device module, positioning results output device module, information processing and data storage device module. In addition, software platform based on Linux operating environment on the hardware system is designed and debugged.Finally, based on the system, the algorithm is tested. Both postural experiments and real-time experiments are designed for distance projection algorithm. Direction projection is also tested. Experimental results show that the proposed device and method could effectively realize the reliable positioning of users in a GPS positioning signal loss environment, with the advantages of easy carrying, easy using, and good adaptability to environment.