Micro-controller based Remote Monitoring using Mobile through Spoken Commands

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