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1. MEMS ACCELEROMETER BASED NONSPECIFIC-USER
HAND GESTURE RECOGNITION
Abstract:
The increase in human-machine interactions in our daily lives has made user interface
technology progressively more important. Physical gestures as intuitive expressions will greatly
ease the interaction process and enable humans to more naturally command computers or
machines. Many kinds of existing devices can capture gestures, such as a “Wiimote,” joystick,
trackball and touch tablet. Some of them can also be employed to provide input to a gesture
recognizer. But sometimes, the technology employed for capturing gestures can be relatively
expensive, such as a vision system or a data glove.
Existing system:
In the existing system, the gesture recognition is based on Joystick, track ball and touch
tablet. Existing system uses vision based gesture recognition technique. These are cost expensive
system. Hence we go for the proposed system.
Proposed system:
In the proposed system, accelerometer based gesture recognition technique is used. The
proposed system uses 3-Axes MEMS accelerometer with PIC16F877A Microcontroller. The
accelerations of a hand in motion in three perpendicular directions are detected by three
accelerometers respectively and transmitted to a PC via Bluetooth wireless protocol. Based on
the gesture framed and recognized the applications are controlled in PC

2. Block Diagram:
Recognition Section:
Power
Supply
LCD
PIC
16F877A
Micro
3-Axes
Accelerometer
Controller
Application Section:
Power
Supply
MAX
232
MAX
232

3. Hardware requirements:
 PIC16F877A Microcontroller with Power Supply
 Bluetooth Modem
 Max 232
 LCD
 3-Axes Accelerometer
 PC with .net
Software requirements
 Embedded c
 MPLab Compiler or CCS Compiler
 VB .net
Advantages
 Cost effective
 User friendly
Applications:
 Can be used to control applications as we wish.
 Can be used for gaming purposes.