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Sentient Computing Andy Hopper

Sentient Computing Andy Hopper. Presenter : Youn Do Lee Oct 31, 2005. Why this presentation. There have been many presentations about location systems Active bat, Active badge, Cricket, Radfinder, etc. This presentation is about issues beyond the location systems

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Sentient Computing Andy Hopper

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  1. Sentient ComputingAndy Hopper Presenter : Youn Do Lee Oct 31, 2005

  2. Why this presentation • There have been many presentations about location systems • Active bat, Active badge, Cricket, Radfinder, etc. • This presentation is about issues beyond the location systems • Refining location information • What to do with location information

  3. Contents • INTRODUCTION • REASERCH ISSUES • Location sensing • Spatial monitoring • Data distribution • Applications • OBSERVATION

  4. Sentient Computing? • Sentient computing is • The proposition that applications can be made more responsive and useful by observing and reacting to the physical world • A form of ubiquitous computing which uses sensors to perceive its environment and react accordingly

  5. Sentient computing project • AT & T Laboratories Cambridge • Active bats • Follow-me systems • Now defunct • Reference • Mike Addlesee , Rupert Curwen , Steve Hodges , Joe Newman , Pete Steggles , Andy Ward , Andy Hopper, Implementing a Sentient Computing System, IEEE Computer Magazine, v.34 n.8, p.50-56, August 2001

  6. Location Sensing • Categorising the concept of location • Containment • Active badge, Cricket • Proximity • Bluetooth • Co-ordinate • GPS, Active bat

  7. Active badge

  8. Active bat

  9. Spatial monitoring • Location systems provide raw spatial facts about objects • But location-aware applications need more than raw spatial data • They need spatial relationships between objects that are significant • How to decide whether a spatial relationship is significant

  10. Spatial monitoring (cont’d) • One possible approach • Operating on the basis of zones of containment surrounding objects Person X is “holding” Keyboard K Person X can be “seen” by camera B but not by camera A

  11. Data distribution • Beyond location-publishing application • An automatic control of the digital environment without user intervention • For example • The personal desktop follows the user to any nearby device • To archive this, A platform for connecting and displaying information on all these devices are needed in addition to location information

  12. Data distribution (cont’d) • VNC (Virtual Network Computer) • A simple device independent protocol • The viewer has no state, and simply displays information graphically • The connection from viewer to server is also stateless, just keystrokes and pointer clicks

  13. Applications • Opening and closing doors automatically • A textual indication of where someone is, how fast the are moving, how long they have been there • Showing the local context, including who and what else is nearby • Personalization by teleporting VNC desktops • Surveillance applications which the selection of a particular camera is based on spatial data

  14. Contents • INTRODUCTION • REASERCH ISSUES • Location sensing • Spatial monitoring • Data distribution • Applications • OBSERVATION

  15. Observation • Attempts at automatic control without user intervention have not proved enduring • Automatically teleporting to the nearest screen • Automatic routing of phone calls • Once more than a simple inference is attempted it seems that hit a brick wall • The sighting of three or more Active Badges in a single space => “meeting” ?

  16. Observation (cont’d) • One potential research direction is to provide much more feedback to the user • Visual and aural feedback with perhaps every nearby wall being used display may be one approach • The user can interact in a much more informed way and help guide any decision-making process • Perhaps a way to make progress beyond the engineering level is to imagine a “perfect” sensing system with full coverage of the environment

  17. Thank you, any question?

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