In-Door Localization for Health Applications
The proposed research project will develop a novel approach to human body motion tracking system. In this proposal the research team will employ an on-body sensor network using inertial navigation techniques in conjunction with an Ultrasonic Identification (USID) and range finding system. The two systems will be developed separately and will be combined to obtain the most effective human body tracking system. The advantage of an Inertial Navigation System (INS) is that it requires no external references in order to determine its position, orientation, or velocity once it has been initialized. 9-Axis motion sensors are a newly introduced family of motion sensors which take advantage of integrating a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer for greater accuracy and better performance. The main objective are: To design a “body sensor network” capable of monitoring, tracking and graphically representing movements of human body; and To achieve the first objective the designed motion tracking system will have the following characteristics: 1. Acceptable accuracy; 2. Reliable output with minimum noise or missing data; and suitable for use by anyone regardless of their age or anthropometric measurements, with no limitations in terms of the movements that it can track.
The candidate should be a highly motivated student of the Electrical and Computer Engineering Department at Ryerson University. S/He has to have extensive knowledge in Analog and Digital designs, Microprocessors, and fluent in coding languages. The main research objective is to apply his/her knowledge of signal processing and his experience in embedded systems in a new and challenging research field such as biomedical engineering. The specific objectives for candidate are: 1. To support the development of electrical components, circuits, data communications systems, and sensor systems; and 2. To design circuits, sensor network and communication systems for the combined INS-USID approach. Methodologies: To achieve the objectives of the project, s/he will use the following four-stage approach. Various existing mathematical modeling and simulation techniques will be used by the research team as the initial building blocks for both the INS and the USID human motion tracking systems and their integration. 1) Body Sensor Network Data Collection 2) Data Acquisition, Conditioning, and Transmission 3) Data Processing using Human Kinematics Modeling 4) Translation to Graphical representation on operator's interface
1) Coding Skills (C, C++, VHDL, are assets) 2) Knowledge of Digital and Analog Designs
Kaamran Raahemifar : In-Door Localization for Health Applications | Thursday March 9th 2017 06:41 PM