JOURNAL OF NETWORKS (JNW)
ISSN : 1796-2056
Volume : 3    Issue : 2    Date : February 2008

Micro-controller based Remote Monitoring using Mobile through Spoken Commands
Naresh P Jawarkar, Vasif Ahmed, Siddharth A Ladhake, and Rajesh D Thakare
Page(s): 58-63
Full Text:
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Abstract
Mobile phone can serve as powerful tool for world-wide communication. A system is developed to
remotely monitor process through spoken commands using mobile. Mel cepstrum features are
extracted from spoken words. Learning Vector Quantization Neural Network is used for recognition
of various words used in the command. The accuracy of spoken commands is about 98%. A text
message is generated and sent to control system mobile in form of SMS. On receipt of SMS, control
system mobile informs AVR micro-controller based card, which performs specified task. The
system alerts user in case of occurrence of any abnormal conditions like power failure, loss of
control, etc. Other applications where this approach can be extended are also discussed.

Index Terms
Mobile phone, Short Messaging Services (SMS), AT commands, Mel coefficients, LVQ, AVR
microcontroller