Title :
Using 3D Virtual Environments to Monitor Elderly Patient Activity with Low Cost Sensors
Author_Institution :
Center for Internet Excellence Erkki Koiso-Kanttilan katu, Univ. of Oulu, Oulu, Finland
Abstract :
In this paper we present our method of detecting elderly patient´s activities using a low-cost mobile sensor network. The activities are visualized using a 3D virtual environment. The sensor network consists of two wearable accelerometer/gyro sensors and 4-6 proximity sensors. A pattern recognition system detects the activities and a 3D virtual environment platform visualizes 19 actions and the approximate location of the patient, who is represented as a humanoid avatar. We evaluate our system with healthcare professionals using the focus group interview method and present the results as guidelines for using 3D virtual environments with elderly patient monitoring.
Keywords :
avatars; health care; monitoring; wireless sensor networks; 3D virtual environment platform; 3D virtual environments; accelerometer/gyro sensors; elderly patient activity; elderly patient monitoring; healthcare professionals; humanoid avatar; low cost sensors; mobile sensor network; pattern recognition system; proximity sensors; Animation; Avatars; Senior citizens; Sensors; Three-dimensional displays; Virtual environments; Visualization; Biomedical monitoring; Virtual Reality; Visualization;
Conference_Titel :
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference on
Conference_Location :
Prague
DOI :
10.1109/NGMAST.2013.23