Emergency recognition system based on multimodal information.
This paper aims to propose an emergency recognition system using multimodal information extracted by an image processing module, a voice processing module, and a gravity sensor processing module. Each processing module detects predefined events such as moving, stopping, fainting, and transfer them to the multimodal integration module. Multimodal integration module recognizes emergency situation by using the transferred events and rechecks it by asking the user some question and recognizing the answer. The experiment was conducted for a faint motion in the living room and bathroom. The results of the experiment show that the proposed system is robust than previous methods and effectively recognizes emergency situations at various situations.
Kim
Y U
YU
Wonkwang University, Iksan, Jeonbuk 570-749 Korea. kyw1007@wku.ac.kr
Kang
S K
SK
So
I M
IM
Han
D K
DK
Lee
S S
SS
Lee
Y J
YJ
Jung
S T
ST
D000465:Algorithms; D001330:Electronic Data Processing; D004632:Emergency Medical Services; D004635:Emergency Medicine / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007256:Information Systems; D008959:Models, Neurological; D016571:Neural Networks, Computer; D019114:Remote Consultation; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013597:Systems Analysis; D014159:Transducers; D014584:User-Computer Interface