Artificial Intelligent Systems and Machine Learning

S. Radhika ¹, J. Nandhu Bashini ¹, G. Muthu Nandhini ¹, M. Santhanaraj ¹, V. P. Ajay ¹

Affiliations
1 Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, IN

Abstract

Bio Signals are the electrical pulses available from every living being in this world and one of the primary signals is given out by our muscles. Signal variations corresponding to the convulsion and relaxation of muscles are termed as ElectroMyoGram and the method of analysis for the signal is called as Electromyograph. These signals are used for analysis of various muscular related parameters and some of the major parameters are muscular activity, inactive study of muscles, concentrated pulse development from irregularly working muscles, study of muscles damaged extensively from accidents and so on. Some of the basic parts of the body which exhibits good EMG wave patterns are,(i) Forehead and Jaws(ii) Upper arms, Fingers and biceps(iii) Toes, heels and calf muscles(iv) Spine and vertebrae. The aim of this project is to develop a module that can display real time raw EMG data from sensors and produce exact replica of the same for printing and analysis. In addition, the waves are to be collected for various ages and thereby produce a reference chart for each age group ranging from 10 to 25 years of age.

Keywords

Classification of Signals, EMG, Results.

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K. S. Gokul Krishnan ¹, K. S. Gopinath ¹, V. R. Karthikeyan ¹, N. Krishnamoorthy ¹, M. Santhanaraj ¹

Affiliations
1 Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, IN

Abstract

Several accidents at railway gate crossings occur due to the impatience of crosser-by to wait for the train to cross the gate and decide to cross the track in spite of the gate being closed. Furthermore, in an unmanned railway crossing without gates, the risk is much higher. The lack of availability of data/instructions regarding the likelihood of the train to pass the level crossing leads to this perilous situation. This can be avoided if the crosser-by is alerted, when the train is at a pre-defined distance from the crossing. The major objective involves designing an intelligent railway level crossing system, which acquires data from sensors. The data acquired from the sensors initiates the micro controller to alert the crosser-by about the status of the train. This project also involves displaying the train speed and the average speed necessary to cross the level crossing before train arrives, which could be helpful for crosser-by.

Keywords

Unmanned Railway Level Crossing, Sensor, Microcontroller, Train Speed, Average Crossing Speed.

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