Title :
Interactive application of location tracking and activitity recognition based AHRS in intelligent space
Author :
Guohui Tian ; Qingbin Zhang ; Fei Lu
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
This paper presents an application that combine the human location information and human activity in the intelligent space. Two AHRS modules have been utilized for getting the human information. On one hand, the AHRS module on the waist has been used for location tracking indoor accurately. On the other hand, the AHRS module of the arm based on the GMM algorithm has to perform activity recognition simultaneously. The proposed method considers the utilization of wearable sensors, AHRS modules, which can provide the human´s information in an intelligent environment. In addition, some special activities we defined have been used for amending the human position so that the mutual compensation of position tracking and activity recognition is obtained in the system. In this paper, the daily performance is discussed and the experiments are performed. The experimental results are shown that the accuracy of the system is more than 98% in an comfortable and convenient way.
Keywords :
Gaussian processes; gesture recognition; mixture models; object recognition; AHRS modules; GMM algorithm; activity recognition; human activity; human location information; intelligent environment; intelligent space; location tracking indoor; mutual compensation; position tracking; wearable sensors; Cameras; Educational institutions; Fingers; Home appliances; Monitoring; TV; Visualization; AHRS Module; Activitity Recognition; GMM Algorithm; H-M interaction; Location Tracking;
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2014 IEEE 11th International Conference on
Conference_Location :
Miami, FL
DOI :
10.1109/ICNSC.2014.6819686