MEMS based PC Control using Hand Signals: Micro-electro-mechanical systems (MEMS) are microscopic mechanical systems coupled with electric or electronic circuits. MEMS have been extensively used as micro-scale high-quality oscillators, communication resonators, microphones, amplifiers and other micro-oscillators.In this investigation, mathematical model of a micro-mechanical resonator is developed subject to a full nonlinear model.The output signal of MEMS is not reliable when it's operating in a saturated or in an instable region. From a design viewpoint, a stability chart is needed to indicate the relationship between the parameters to determine when the system is stable,periodic,or unstable.Nondimensional and linearized model of the MEMS is studied and a stability diagram is developed for the system. The analysis of micro-electro-mechanical structures is addressed focusing on the evaluation of damping forces exerted by the surrounding gas on moving parts In our project we are going to create the PC commands using MEMS technology. The MEMS sensor placed in the Human hands. Here the MEMS sensor gives the analog signal for the corresponding X-Y-Z axis. Interface the signal to the controller with the use of analog to digital converter. Then the Controller sends the command signal to the PC with the use of serial communication. Here we have programmed already in the controller for generating the command signal for corresponding X-Y-Z axis. Block Diagram: Voice based Wheel Chair Control for the Disabled: This project, “Wheel Chair Control Using Voice Signals For Disabled Patients” presents a robotic wheelchair for the disabled persons. The body-supporting device for handicapped person is characterized as two sets, first set of two rigid segments, each mounted on the backrest by an articulated system which blocks the segment in a vertical orientation as armrest or horizontal orientation, and the second set has two cradle elements, adapted to be immobilized in the same horizontal plane in alignment to form open leg guards fitting over the front of the persons legs. The wheelchair is controlled by means of voice. Using this wireless communication, a virtual network can be created. This eliminates the complexity of wired networks and suits well for short distance communication. The wheelchair is protected by sensors. So this application can be extended for the blind persons. Block Diagram: Transmitter Section: |


