WIRELESS BODY AREA SENSOR NETWORK FOR POSTURE DETECTIONSumi K C

S7CS

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INTRODUCTION

Body Area Network Makes use of user postures to implement

alternate input system Must be fast and real-time Flexibility

WIMOCA

Distributed Posture Recognition Application Sensors are represented by Triaxial

Integrated MEMS accelerometers Use accelerometers to detect postures and

gestures Nodes are mounted on human body and are

connected to a base station Base station acts as a gateway that connects

network to a PC

WBASN ARCHITECTURE

Wearable Low-power Modular Architecture

Fig 1 WiMOCA System Structure

WBASN ARCHITECTURE

Three sections MCU/Sensors RF Power Supply

Microcontroller ATMega 8bit controller AVR RISC architecture

MEMS Tri-axial accelerometer Maximum Power 15mW and minimum 1μW

RF Operates at 800MHz

WBASN ARCHITECTURE

Star Topology WiMoCA nodes are the endpoints Nodes are responsible for sensing and acquiring

data Gateway performs bridging functions

Fig 2 Node Structure