Slide 1

Abstract:Measuring ones performance can be difficult for skiing and snowboarding, mainly due to lack of repetitive movements, such as those found in other activities like running and cycling.

ComponentPrice Microprocessor$8.00GPS Receiver$62.00Accelerometers$45.00Gyroscopes$30.00Flash Memory$2.00LCD$15.00Battery and Charger$28.00Enclosure$7.00Miscellaneous$25.00Total*$222.00Final Results:

Technical ApproachA Global Positioning System (GPS) integrated with an Inertial Navigation System (INS) through a Kalman filterTesting:Rigorous outdoor testing

Problem:Create an affordable lightweight speed and distance sensor for skiing and snowboardingMeasure speed, distance, top speed, and record data for future review

Objective:Intended to track speed, distance, and top speedOperable by any individualEasy to use, no training requiredAssumptions:Sensor is securely mounted to snowboard or ski to ensure accuracy

Design Requirements:A few of the major design requirements include:

Operate in Subzero Temperatures

Useable in winter apparel

Safety

Lightweight Less than two pounds

Cost less than $500

Battery Life greater than 2 hours

Accurately record speed and distanceA Kalman filter is an advanced integration technique used to dynamically correct error in a noisy system

This solution provides unmatched accuracy compared to the competition

*Prototype cost

Dr. Balasumbramaniam

Facilitator

Matthew GuibordAbhinav ParvataneniMichael Carpenter

Michael BlairManagerLab CoordinatorPresentation PrepWebmaster

Michael BekkalaDocumentation Prep

GPS solutionAccurate speed, distance, and peak speed recorded in per minute intervalsAbility to store multiple runsExtensive user interface and PC functionality

Lightweight, easy to use menu systemUnpredicted complexity of the Kalman filter combined with short development time prevented fielding of an integrated GPS and INS solution

Google Earth displaying measured GPS coordinates (1Hz sample rate)Verified speed and peak speedmeasurements with a digital speedometer

Compared longitude and latitude measurements with Google Earth, other consumer products

ProtoboardSync SoftwareDevice showing displacement, average speed, and peak speed

To overcome this challenge, Design Team Six proposes a lightweight speed and distance sensor based on the integration of a Global Positioning System (GPS) and an Inertial Navigation System (INS) through Kalman filtering.