DocumentCode :
2583639
Title :
Artificial intelligent strategy to control heart rate variability
Author :
Beg, A.H. ; Ahmad, Noraziah ; Khan, Nawsher ; Alla, Ahmed N Abd ; Nubli, Muhammad ; Lovely, A.K.
Author_Institution :
Fac. of Comput. Syst. & Software Eng., Univ. Malaysia Pahang, Kuantan, Malaysia
fYear :
2010
fDate :
7-10 May 2010
Firstpage :
228
Lastpage :
231
Abstract :
This research proposes a new artificial intelligence strategy to enhance software games based on heart rate variability. The model consists of two modules (visual learning and IQ test) that will conjoined with a biofeedback device connected to a computer to monitor student heart rate and record its changes in a stressful situation and generate appropriate reports. By playing these two games student will be able to improve their learning capability and control their heart rate variability.
Keywords :
artificial intelligence; computer games; computerised monitoring; IQ test; artificial intelligence; biofeedback device; heart rate variability control; software games; stressful situation; student; visual learning; Artificial intelligence; Biological control systems; Biomedical monitoring; Blood pressure; Game theory; Heart rate; Heart rate variability; Intelligent control; Learning; Testing; Artificial intelligence; IQ test; biofeedback game; visual learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Computer Technology (ICECT), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7404-2
Electronic_ISBN :
978-1-4244-7406-6
Type :
conf
DOI :
10.1109/ICECTECH.2010.5479951
Filename :
5479951
Link To Document :
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