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Proposal for next collaboration on “LifeLog visualization”

Proposal for next collaboration on “LifeLog visualization”. NEC C&C Innovation Research Lab. Kazuo KUNIEDA. Nov. 2, 2009. Motivation. To enhance CCIL LifeLog system. We have a ubiquitous-sensors system for human behavior analysis. We are continuously gathering a lot of data from it.

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Proposal for next collaboration on “LifeLog visualization”

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  1. Proposal for next collaboration on“LifeLog visualization” NEC C&C Innovation Research Lab. Kazuo KUNIEDA Nov. 2, 2009

  2. Motivation • To enhance CCIL LifeLog system. We have a ubiquitous-sensors system for human behavior analysis. We are continuously gathering a lot of data from it. However, we have only a simple tool for visualization. • To achieve more imactful, immersive, realistic, by realtime 3D graphics. Simple viewer Advanced viewer

  3. CCIL environment • LifeLog data • All data are stored on Web server and RDB. • Raw data: XML format on Web Server. • Pre-processed data: Binary format on PostgreSQL. • Fundamental 3D data 3D-CAD data (for 3DSMax)

  4. LifeLog Data in CCIL • People’s flow information on a 1.5 m mesh grid with infrared tag. • Acoustic information on a 3 m grid (Ceiling Microphone) • PC key operation, process information, window information, file access information (open/close timing) • Video footage encompassing shooting the indoor environment (Ceiling Video Camera) • Location detection information of books using radio frequency identification (RFID) • Footprints information on 2.5cm mesh grid in corridor (Floor sensor) partially structured Postgre SQL Web Server

  5. Goal: Two aspects of visualization • 3D CG Perspective office view • for desktop client • Sensor data overlaid on 3D CG office view. • realtime view andreplay view • AR view • For mobile client (iPhone, iTouch, etc..) • Sensor data overlaid on the camera imagery displayed on the client screen. • For detection of client location • Ex. using ubiquitous markers like 2D barcode placed in the room.

  6. Object-Location Sensing • To detect both object-location and orientation • Using AR toolkit and pan-tilt type cameras on the ceiling • AR toolkit provides easy API to calculate the real world location of objects using 2D barcode. This feature is optional, but very attractive.

  7. Target user • CCIL researcher • visiting researcher • temporary guest

  8. NEC member • Kazuo KUNIEDA • Hideki KAWAI • Takao Shime • Yuki KAMIYA

  9. Thank you

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