WIRELESS BODY AREA SENSOR NETWORK FOR POSTURE DETECTION Sumi K C S7CS Roll No:

I NTRODUCTION Body Area Network Makes use of user postures to implement alternate input system Must be fast and real-time Flexibility

W I M O CA 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 A RCHITECTURE Wearable Low-power Modular Architecture Fig 1 WiMOCA System Structure

WBASN A RCHITECTURE Three sections MCU/Sensors RF Power Supply Microcontroller ATMega 8bit controller AVR RISC architecture MEMS Tri-axial accelerometer Maximum Power 15mW and minimum 1 μW RF Operates at 800MHz

WBASN A RCHITECTURE Star Topology WiMoCA nodes are the endpoints Nodes are responsible for sensing and acquiring data Gateway performs bridging functions Fig 2 Node Structure