Abstract— The aim of this work is to implement wheel chair direction control with hand gesture reorganization This paper proposes an integrated approach to real time detection, tracking and direction recognition of hands, which is intended to be used as a human-robot interaction interface for the intelligent wheelchair。 This paper demonstrates that accelerometers can be used to effectively translate finger and hand gestures into computer interpreted signals。 For gesture recognition the accelerometer data is calibrated and filtered。 The accelerometers can measure the magnitude and direction of gravity in addition to movement induced acceleration。 In order to calibrate the accelerometers, we rotate the device’s sensitive axis with respect to gravity and use the resultant signal as an absolute measurement。84379

Keywords- Gesture Recognition System, Human Robot Interface, Microcontroller, Receiver, Transmitter。

I。INTRODUCTION

Accelerometers can be used to effectively translate finger and hand gestures into computer interpreted signals。 Integrating a single chip wireless solution with a MEMS accelerometer would yield an autonomous device small enough to apply to the fingernails because of their small size and weight。 Accelerometers are attached to the fingertips and back of the hand。 Arrows on the hand show the location of accelerometers and their sensitive directions。 The sensitive direction of the accelerometer is in the plane of the hand。 Micro- electromechanical systems (MEMS) are free scale’s enabling technology for acceleration and pressure sensors。 MEMS based sensor products provide an interface that can sense, process or control the surrounding environment。 MEMS-based sensors are a class of devices that builds very small electrical and mechanical components on a single chip。 MEMS-based sensors are a crucial component in automotive electronics, medical equipment, hard disk drives, computer peripherals, wireless devices and smart portable electronics such as cell phones and PDAs。 MEMS technology provides the following advantages: cost-efficiency, low power, miniaturization, high performance, and integration。 Functionality can be integrated on the same silicon or in the same package, which reduces the component count。 This contributes to overall cost savings。

II。

INTRODUCTION TO EMBEDDED SYSTEMS Embedded   System  is   a   combination  of  hardware  and

software used to achieve a single specific task。 An embedded system is a microcontroller-based, software driven, reliable, real-time control system, autonomous, or human or network interactive, operating on perse physical variables and in perse environments and sold into a competitive and cost conscious market。

An embedded system is not a computer system that is used primarily for processing, not a software system on PC or UNIX, not a traditional business or scientific application。 High- end embedded & lower end embedded systems。 High-end embedded system - Generally 32, 64 Bit Controllers used with OS。 Examples Personal Digital Assistant and Mobile phones etc 。Lower end embedded systems。 Examples Small controllers and devices in our everyday life like Washing Machine, Microwave Ovens, where they are embedded in。

Figure 1。   Embedded system design calls on many discilplines

III。TRANSMITTER MODULE

From the Fig。 2 accelerometer send the information about the tilt of the accelerometer sensor。 This information is in the form of analog and the information of the tilt is in the form of x, y, z。 the x, y, z axis information is indicate the position of the pointer。 The data from the accelerometer is given to the ADC controller。 The ADC controller can convert the analog information to the digital information for the micro controller understands。 The micro controller can take the information from the ADC controller and spit the data in three forms。  The