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Stride Length Detection using Mobile Devices

Stride Length Detection using Mobile Devices. By:- Guide:- Atul danda Scott Pardue Shashank s Alex Dohrn. Overview. About the project Progress Challenges Faced. About the Project. The objective of the project is to measure the accurate length of a stride.

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Stride Length Detection using Mobile Devices

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  1. Stride Length Detection using Mobile Devices By:- Guide:- Atuldanda Scott Pardue Shashanks Alex Dohrn

  2. Overview About the project Progress Challenges Faced

  3. About the Project The objective of the project is to measure the accurate length of a stride. Use of BUILT-IN inertial sensors to obtain instantaneous data from user mobile. Use of Accelerometer and Gyroscope. The current project is a sub-domain of a larger project(e.g Indoor Localization, Project TANGO)

  4. Accelerometer And Gyroscope An accelerometer is a device that measures g-force. It gives all its data in Cartesian Co-Ordinates i.e. X, Y, Z. -WikipediaA gyroscope is a device for measuring or maintaining orientation, based on the principles of angular momentum. Mechanical gyroscopes typically comprise a spinning wheel or disc in which the axle is free to assume any orientation. This gives the orientation of X, Y, Z i.e. Roll, Pitch and Yaw. -Wikipedia

  5. Graph of Gyroscope

  6. Ideal Graph of Accelerometer Component Value Time

  7. Progress • Stage 1 • Acclimatization to JAVA and Android Development Environment. • Literature survey about the project. • Development of Android App to tap data from sensors.

  8. Progress Stage 2 Exporting the data from Eclipse

  9. Stage 3 • Sampling the data at required time interval. Progress

  10. Progress Stage 4 Importing of data to MATLAB and Graphical Representation

  11. Work in Progress Implement a Low Pass Filter eliminate noise Obtain the optimum sampling rate. To compute the distance covered in a given stride. Achieve a tolerance range of 5%. Optimize the code, to calculate the distance travelled on skate board.

  12. Challenges Faced Reference 1. Step Length Estimation Using Handheld Inertial Sensors ValérieRenaudin*, Melania Susi and GérardLachapelle PLAN Group, Schulich School of Engineering, The University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada; E-Mails: msusi@ucalgary.ca (M.S.); gerard.lachapelle@ucalgary.ca (G.L.) Delayed in choosing a project closest to our domain. Novice to JAVA and Android development environment . Working on built in hardware of device. Working with a Black Box.

  13. Thank You

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