Indoor Positioning Services Location Based Recommendations Jim Hahn

Indoor Positioning Services + Location Based Recommendations Jim Hahn jimhahn@illinois. edu

Wayfinder 2

Estimote Beacons 3

Beacon Components http: //blog. estimote. com/post/57087851702/preorder-for-estimote-beaconsavailable-shipping 4

Goals + Objectives • Computing processes used to integrate beacons into app – Components for the recommendation algorithm • Testing and improving beacon precision – Securing location based services 5

Integrating Beacons to App 6

Math Emergency: Trilateration 7

Modular APIs 8

Recommendations Processing 9

Recommendations Processing 10

Beacon Locations 11

Beacon Awareness Tests 12

Beacon Testing 13

Security: Estimote Cloud https: //community. estimote. com/hc/enus/articles/201371053 -What-security-features-does. Estimote-offer-How-does-Secure-UUID-work 14

Securing Local DB 15

Securing Local DB 16

Conclusion + Project Next Steps • Look for Wayfinder update to the Minrva app on Android Play store this Summer 2016. • Updates from Technology Prototyping Projects Page: http: //sif. library. illinois. edu 17

Acknowledgements • Ben Ryckman, Lead Developer • Maria Lux, Graphic Designer • Senior Projects Course Team Sr. Proj CS 492/493 – Ben Blaisdell, Christopher Collins, Maxx Macica, Raymond Farias, Yier Huang • The author wishes to acknowledge the Research and Publication Committee of the University of Illinois at Urbana. Champaign Library, which provided support for the completion of this research. 18

Estimote Resources • Developer Docs, including Beacon Tech Overview: http: //developer. estimote. com/ • Reality Matters: How do beacons work? The physics of beacon tech: http: //blog. estimote. com/post/106913675010 /how-do-beacons-work-the-physics-of-beacontech 19