Gesture Recognition

1. An Accelerometer-Based
Digital Pen with a Trajectory
Recognition Algorithm for
Handwritten Digit and
Gesture Recognition

2. Agenda
 Objective
 Existing System
 Proposed System
 Block Diagram
 Description
 Software Tools
 Hardware Tools
 Application

3. Objective
 We constructed an interface system that would allow
a similarly advanced user to interact with a computer
with almost full functional capability.

4. Existing system
 Shorter distance between PC and Pen section
 Some board is required for writing

5. Proposed System.
•Longer distance is possible by using WiFi communication
•By varying the position of MEMS we can display the
characters in PC

6. Block Diagram
Pen section:
Power Supply
Micro
controller
MEMS
WiFi Transceiver

7. Computer Application Interface section
RS232 Communication
WiFi Transceiver

8. Description
 Users can use the pen to write digits or make hand
gestures, and the accelerations of hand motions
measured by the accelerometer are wirelessly
transmitted to a computer for online trajectory
recognition. So, by changing the position of MEMS
(micro electro mechanical systems) we can able to
show the alphabetical characters in the PC. The
acceleration signals measured from the tri-axial
accelerometer are transmitted to a computer via
the wireless module.

9. Hardware Tools
 ECU
 WiFi Module
 MEMS Sensor
 Power Supply

10. Software Tools
 MPLAB IDE
 Embedded C language
 Flash Magic
 Visual Basic6
 MATLAB