Location of Mobile Devices Using Networked Surfaces James Scott Frank Hoffmann jamesscott@acm.orgfh215@cam.ac.uk http://www-lce.eng.cam.ac.uk/ - PowerPoint PPT Presentation

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Location of Mobile Devices Using Networked Surfaces James Scott Frank Hoffmann jamesscott@acm.orgfh215@cam.ac.uk http://www-lce.eng.cam.ac.uk/

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Title: Location of Mobile Devices Using Networked Surfaces James Scott Frank Hoffmann jamesscott@acm.orgfh215@cam.ac.uk http://www-lce.eng.cam.ac.uk/


1
Location of Mobile Devices Using Networked
Surfaces James Scott Frank Hoffmann
jamesscott_at_acm.org fh215_at_cam.ac.ukhttp//www-l
ce.eng.cam.ac.uk/
2
Overview
  • Quick intro to Networked Surfaces
  • Location process
  • Simulations, measurements and visualisations
  • Improving accuracy
  • Applications

3
Networked Surfaces Concept
  • Provide network connectivity using physical
    surfaces
  • Such as desks, floors, etc.
  • Make use of gravity
  • No plug no special position/alignment required
  • Provides mobility for devices
  • Offers transparency of connection for users
  • Support a range of services
  • Ethernet-style inter-computer networks
  • Slower serial busses for peripherals
  • Power

4
Networked Surfaces Implementation
  • Augment surface and objects with conductive pads
  • Different object footprints guarantee different
    numbers of channels
  • When connecting, pad mappings are discovered
  • Prototype characteristics
  • PCMCIA interface to notebooks
  • Connection in 0.2s
  • Disconnection in 0.1s
  • 5Mbit/s networking

5
Prototype Photo
6
Object Pad Configurations
Links Required Object Pads Footprint Diameter (mm)
2 5 26
3 9 46
4 12 68
5 16 88
6 19 110
7
Location Process
8
Location Algorithm
9
Location Characteristics
  • Location available for 100 of connected objects
  • Expect guarantee of bounded maximum error
  • Algorithm is fast 1ms on modest hardware
  • Tested using simulations, measurements and
    visualisation

10
Simulations
  • Simulation process
  • Simulate random placement
  • Calculate pad mappings
  • Execute location algorithm
  • Compare result with original placement
  • Allows fast testing of many placements
  • 1,000,000 locations tested for each data point
  • Other advantages
  • Testing of various footprints
  • Evaluation of possible improvements

11
Simulation Results
12
Comparison with Measurements
Variable Mean Simulated Error Mean Measurement Error Difference
X 15mm 13mm 2mm
Y 3.6mm 3.0mm 0.6mm
(X,Y) vector 16mm 14mm 2mm
? 7.8 6.3 1.5
  • 50 manual measurements
  • 4 link object
  • Est. 5mm accuracy
  • Results very close to simulation

13
Visualisation Tool
  • Circle shows est. position, rectangle shows
    bounds
  • Lines show est. orientation and max orientation
    range
  • Y accuracy gtgt X accuracy
  • 2 column accuracy gtgt
  • 1 column accuracy

14
Improving Location Accuracy
  • Current prototype does not provide full pad
    mapping info
  • Only as many links as necessary, and only one
    object pad per link
  • Can augment with information on Duplicate Pads
  • For each surface pad used, list all object pads
    touching it (instead of just one)
  • Can also augment with information on All Links
  • Provide mappings for all surface pads sensed, not
    just those used for connection
  • Possible to implement in current prototype
  • Changes only required in FPGA programs, not in
    hardware
  • Use simulation to test improved performance

15
Improved Simulations (X,Y) vector
16
Improved Simulations Orientation
17
Integration and Applications
  • Integration with context-aware middlewares
  • E.g. QoS DREAM Flame, SPIRIT (both at LCE)
  • APP Auto-configuration of devices
  • Automatically connect devices appropriately
  • e.g. keyboard connects to closest monitor
  • APP Interface mobility
  • Remote interfaces using devices with better I/O
    hardware
  • e.g. ad-hoc docking station for a notebook
    computer

18
Conclusions
  • Networked Surface prototype is capable of
    locating devices with a mean error of 8mm and 2º
  • Also guarantees maximum errors of 32mm and 9º
  • Beats most dedicated location systems!
  • Many useful applications, including
    surface-centric ones

19
Applications Continued
  • Ubiquitous interfaces using Networked Surfaces
  • Use location as user input and device as
    pointer
  • Position, orientation, vector of movement, and
    velocity can all be provided
  • Outputs using the capabilities of the devices
    themselves, or
  • Direct HCI with Surfaces
  • Use pressure sensors in the Surface for input,
    LEDs for output
  • Can interact with users directly
  • e.g. Confirmation dialogues
  • Huge application space
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