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Abstract:

Michael Bekkala. Michael Blair. Documentation Prep. Manager. Abstract: Measuring one’s 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.

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Abstract:

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Presentation Transcript

  1. Michael Bekkala Michael Blair Documentation Prep Manager Abstract: Measuring one’s 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. 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. Protoboard • Technical Approach • A Global Positioning System (GPS) integrated with an Inertial Navigation System (INS) through a Kalman filter • Problem: • Create an affordable lightweight speed and distance sensor for skiing and snowboarding • Measure speed, distance, top speed, and record data for future review • A Kalman filter is an advanced integration technique used to dynamically correct error in a noisy system Sync Software • Objective: • Intended to track speed, • distance, and top speed • Operable by any individual • Easy to use, no training required • This solution provides unmatched accuracy compared to the competition Device showing displacement, average speed, and peak speed • Testing: • Rigorous outdoor testing • Assumptions: • Sensor is securely mounted to snowboard or ski to ensure accuracy • Compared longitude and latitude measurements with Google Earth, other consumer products • Verified speed and peak speed • measurements with a digital • speedometer Design Requirements: A few of the major design requirements include: Operate in Subzero Temperatures Useable in winter apparel Safety Accurately record speed and distance Lightweight – Less than two pounds Battery Life greater than 2 hours Cost – less than $500 Final Results: • GPS solution • Accurate speed, distance, and peak speed recorded in per minute intervals • Ability to store multiple runs • Extensive user interface and PC functionality • Lightweight, easy to use menu system • Unpredicted 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) Matthew Guibord Abhinav Parvataneni Michael Carpenter Dr. Balasumbramaniam *Prototype cost Webmaster Presentation Prep Lab Coordinator Facilitator

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