iNEMO : a multi-sensor real-time human activity monitoring system

Abstract

With the campus competition held by ST Microelectronics, the iNEMO sensor is a unique evaluation and development tool that offers up to 10 degrees of freedom, using combinations of 3-axis linear acceleration, angular rate and motion sensing, managed by an STM32 32-bit microcontroller and would be designed for such kind of innovative project to fulfill the modern technology application.

This project aims to develop an wireless real-time human activity monitoring system which includes the functionality of human behavior analysis for paying close attention to elderly living alone people in Singapore. This project consists of two parts. One is on tracking and analyzing iNEMO sensor’s 3 axis data via Bluetooth wireless transmission method. Another one is real-time indoor human behavior monitoring application by using the methodology of computer vision on image processing area. I was assigned the second part for my final year project implementation.

The real-time indoor human behavior monitoring application performs above expectation. The image segmentation, objects detection, tracking and recognition process are successfully working on multiple objects application within certain effective range. Besides, the data analysis of individual object is gained by implementing kalman filter. Although the overall project is working properly, there still needs some improvements on some aspects of this system.