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Buddy Bug

Matt Brennan Nick Nunns Brian Roberts Jeremy Vight. Buddy Bug. Preliminary Design Review. Background. Wide spread use of personal electronics devices (PEDs) MP3 players, cell phones, personal gaming systems Willingness to pay iPod = $250 Razor = $199

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Buddy Bug

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  1. Matt Brennan Nick Nunns Brian Roberts Jeremy Vight Buddy Bug Preliminary Design Review

  2. Background • Wide spread use of personal electronics devices (PEDs) • MP3 players, cell phones, personal gaming systems • Willingness to pay • iPod = $250 • Razor = $199 • The interest in gadgetry has become mainstream* • Traditional PEDs discourage: • Interaction with local social environment • New social networks *Steve Jones, professor of communication at the University of Illinois at Chicago

  3. Background (continued) • 95.7 million single adults in the United States* • Popularity of online friend/dating services • Eharmony.com reports 10,000 to 15,000 new users every day, with more than 6,000 marriages to its credit. • Friendster +19 million members • Forbes reports online-dating-service revenues topping $214 million in the first half of 2003. *Accoring to the U.S. Census Bureau 2004

  4. Concept There is a market gap People like PEDs People like friend/dating services Nothing on the market combining the two Propose the Buddy Bug PED to facilitate social interaction For use primarily at bars, lounges, or any location where people gather Allow people to find others with similar interests Give knowledge of similar interests to allow people to start conversations Provide easy contact information exchange

  5. Vision Buddy Bug • A beeper-sized PED • At home • You program interest groups and contact info into Buddy Bug • Ex. Red Sox fan • At the bar • You have your Buddy Bug clipped to belt • Another Red Sox fan is in the bar • Your Buddy Bug alerts you • You look at the pattern showing on your Buddy Bug. • You look around the bar for Buddy Bug with the same pattern • Go start a conversation • Exchange of contact information Red Sox Fan

  6. Design Challenges • Match identification • How do I know I’m matched with someone? • Pattern synchronization • What’s a pattern? • How are they chosen? • Wireless communication • Small form-factor • Embedded device • Small battery

  7. Design Alternatives • Locating Match • GPS • Visual • Audible • Patterns • Notification • Audible • Visual • Vibration • Mating/Programming • Infrared • Contacts • Communication • Wi-Fi (IEEE 802.11) • Bluetooth (IEEE 802.15.1) • ISM Band • OOK • FSK • FHSS

  8. Design Alternatives • Locating Match • GPS • Visual • Audible • Patterns • Notification • Audible • Visual • Vibration • Mating/Programming • Infrared • Contacts • Communication • Wi-Fi (IEEE 802.11) • Bluetooth (IEEE 802.15.1) • ISM Band • OOK • FSK • FHSS

  9. Design Alternatives • Locating Match • GPS • Visual • Audible • Patterns • Notification • Audible • Visual • Vibration • Mating/Programming • Infrared • Contacts • Communication • Wi-Fi (IEEE 802.11) • Bluetooth (IEEE 802.15.1) • ISM Band • OOK • FSK • FHSS

  10. Design Alternatives • Locating Match • GPS • Visual • Audible • Patterns • Notification • Audible • Visual • Vibration • Mating/Programming • Infrared • Contacts • Communication • Wi-Fi (IEEE 802.11) • Bluetooth (IEEE 802.15.1) • ISM Band • OOK • FSK • FHSS

  11. Design Alternatives • Locating Match • GPS • Visual • Audible • Patterns • Notification • Audible • Visual • Vibration • Mating/Programming • Infrared • Contacts • Communication • Wi-Fi (IEEE 802.11) • Bluetooth (IEEE 802.15.1) • ISM Band • OOK • FSK • FHSS

  12. Matching Algorithm - Challenges Publicizing yourself Identifying others Distributing group information Matching group information Generating unique patterns for groups Requiring patterns in range to coincide

  13. Matching Algorithms - Goals Minimize RF activity Reduce battery drain Reduce transmitting collisions Dynamic and distributed processes No centralized server Solid and stable functionality Handle arbitrary situations and organizations Settle discrepancies in a timely manner Minimize code footprint Leave ample room for flash storage

  14. Matching Algorithms - Proposed Static Matching Statically place patterns from PC onto Buddy Bug Match and Propagate Propagate pattern changes along Buddy Bugs Match and Average Iteratively converge changes among Buddy Bugs All would use a similar initial packet to: Publicize your Buddy Bug Convey group and pattern information

  15. Matching Algorithms - Simulation

  16. Hardware: System Block Diagram

  17. At the Core: Chipcon CC1010 • System on a chip • 8051 Microcontroller • ISM-band RF Transceiver • Persistent Flash Memory • Most major block level components combined into one package • Less PCB “real estate” • Smaller form factor • Simpler PCB design

  18. CDR Deliverables Design documentation and specifications Several functional prototypes Enough to show validity of the design PC Dock & Software Used for programming Research results Justification for algorithms chosen

  19. Proposed MDR Deliverables Two bugs Communication between bugs Wireless Wired Displays LCD Print characters received from other bug LEDs Vary colors and blinking frequency

  20. Comments / Questions?

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